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< body >
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< h1 class = "title" > Control in a rotating frame< / h1 >
< div id = "table-of-contents" >
< h2 > Table of Contents< / h2 >
< div id = "text-table-of-contents" >
< ul >
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< li > < a href = "#orge957f2e" > 1. Introduction< / a > < / li >
< li > < a href = "#orge3f9d24" > 2. System Description and Analysis< / a >
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< ul >
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< li > < a href = "#orgbb00260" > 2.1. System description< / a > < / li >
< li > < a href = "#org781b496" > 2.2. Equations< / a > < / li >
< li > < a href = "#org7d39af7" > 2.3. Numerical Values for the NASS< / a > < / li >
< li > < a href = "#org1d84966" > 2.4. Euler and Coriolis forces - Numerical Result< / a > < / li >
< li > < a href = "#orgf63781f" > 2.5. Negative Spring Effect - Numerical Result< / a > < / li >
< li > < a href = "#org30cf781" > 2.6. Limitations due to coupling< / a >
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< ul >
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< li > < a href = "#orgbcc7a5a" > 2.6.1. Numerical Analysis< / a > < / li >
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< / ul >
< / li >
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< li > < a href = "#org667f040" > 2.7. Limitations due to negative stiffness effect< / a > < / li >
< li > < a href = "#org4d623a3" > 2.8. Effect of rotation speed on the plant< / a >
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< ul >
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< li > < a href = "#org8fe1f44" > 2.8.1. Voice coil actuator< / a > < / li >
< li > < a href = "#org5f61651" > 2.8.2. Piezoelectric actuator< / a > < / li >
< li > < a href = "#org768c82b" > 2.8.3. Analysis< / a > < / li >
< li > < a href = "#org1867928" > 2.8.4. Campbell diagram< / a > < / li >
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< / ul >
< / li >
< / ul >
< / li >
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< li > < a href = "#org51aa0dc" > 3. Control Strategies< / a >
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< ul >
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< li > < a href = "#orgd596ce3" > 3.1. Measurement in the fixed reference frame< / a > < / li >
< li > < a href = "#org0e9b7e7" > 3.2. Measurement in the rotating frame< / a > < / li >
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< / ul >
< / li >
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< li > < a href = "#org83a991e" > 4. Multi Body Model - Simscape< / a >
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< ul >
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< li > < a href = "#orge9f5b3d" > 4.1. Initialization< / a > < / li >
< li > < a href = "#org4e1d752" > 4.2. Identification in the rotating referenced frame< / a > < / li >
< li > < a href = "#org92d2ba4" > 4.3. Coupling ratio between \(f_{uv}\) and \(d_{uv}\)< / a > < / li >
< li > < a href = "#orgd97817a" > 4.4. Plant Control - SISO approach< / a >
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< ul >
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< li > < a href = "#orgb50b663" > 4.4.1. Plant identification< / a > < / li >
< li > < a href = "#orgb760a5c" > 4.4.2. Controller design< / a > < / li >
< li > < a href = "#org4dd2398" > 4.4.3. Controlling the rotating system< / a > < / li >
< li > < a href = "#org638ddef" > 4.4.4. Close loop performance< / a > < / li >
< li > < a href = "#orgc1bd4ee" > 4.4.5. Effect of rotation speed< / a > < / li >
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< / ul >
< / li >
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< li > < a href = "#org84aa0a1" > 4.5. Plant Control - MIMO approach< / a >
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< ul >
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< li > < a href = "#org45eb6ad" > 4.5.1. < span class = "todo TODO" > TODO< / span > Analysis - SVD< / a > < / li >
< li > < a href = "#org1f29244" > 4.5.2. Closed loop SVD< / a > < / li >
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< / ul >
< / li >
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< li > < a href = "#org5f1a617" > 4.6. test< / a >
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< ul >
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< li > < a href = "#org91acab2" > 4.6.1. Low rotation speed and High rotation speed< / a > < / li >
< / ul >
< / li >
< li > < a href = "#org83a989c" > 4.7. Identification in the fixed frame< / a > < / li >
< li > < a href = "#org72d7dab" > 4.8. Identification from actuator forces to displacement in the fixed frame< / a > < / li >
< li > < a href = "#org23b0cab" > 4.9. Effect of the rotating Speed< / a >
< ul >
< li > < a href = "#orgfdbb058" > 4.9.1. < span class = "todo TODO" > TODO< / span > Use realistic parameters for the mass of the sample and stiffness of the X-Y stage< / a > < / li >
< li > < a href = "#org561ff01" > 4.9.2. < span class = "todo TODO" > TODO< / span > Check if the plant is changing a lot when we are not turning to when we are turning at the maximum speed (60rpm)< / a > < / li >
< / ul >
< / li >
< li > < a href = "#org8371883" > 4.10. Effect of the X-Y stage stiffness< / a >
< ul >
< li > < a href = "#org478a6d7" > 4.10.1. < span class = "todo TODO" > TODO< / span > At full speed, check how the coupling changes with the stiffness of the actuators< / a > < / li >
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< / ul >
< / li >
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< / ul >
< / li >
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< li > < a href = "#orgb971120" > 5. Control Implementation< / a >
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< ul >
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< li > < a href = "#orgf8d299a" > 5.1. Measurement in the fixed reference frame< / a > < / li >
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< / ul >
< / li >
< / ul >
< / div >
< / div >
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< div id = "outline-container-orge957f2e" class = "outline-2" >
< h2 id = "orge957f2e" > < span class = "section-number-2" > 1< / span > Introduction< / h2 >
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< div class = "outline-text-2" id = "text-1" >
< p >
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The objective of this note it to highlight some control problems that arises when controlling the position of an object using actuators that are rotating with respect to a fixed reference frame.
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< / p >
< p >
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In section < a href = "#org6dd26eb" > 2< / a > , a simple system composed of a spindle and a translation stage is defined and the equations of motion are written.
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The rotation induces some coupling between the actuators and their displacement, and modifies the dynamics of the system.
This is studied using the equations, and some numerical computations are used to compare the use of voice coil and piezoelectric actuators.
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< / p >
< p >
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Then, in section < a href = "#org5e18e8b" > 3< / a > , two different control approach are compared where:
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< / p >
< ul class = "org-ul" >
< li > the measurement is made in the fixed frame< / li >
< li > the measurement is made in the rotating frame< / li >
< / ul >
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< p >
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In section < a href = "#org6be2579" > 4< / a > , the analytical study will be validated using a multi body model of the studied system.
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< / p >
< p >
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Finally, in section < a href = "#orgdb02db4" > 5< / a > , the control strategies are implemented using Simulink and Simscape and compared.
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< / p >
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< / div >
< / div >
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< div id = "outline-container-orge3f9d24" class = "outline-2" >
< h2 id = "orge3f9d24" > < span class = "section-number-2" > 2< / span > System Description and Analysis< / h2 >
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< div class = "outline-text-2" id = "text-2" >
< p >
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< a id = "org6dd26eb" > < / a >
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< / p >
< / div >
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< div id = "outline-container-orgbb00260" class = "outline-3" >
< h3 id = "orgbb00260" > < span class = "section-number-3" > 2.1< / span > System description< / h3 >
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< div class = "outline-text-3" id = "text-2-1" >
< p >
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The system consists of one 2 degree of freedom translation stage on top of a spindle (figure < a href = "#org011c144" > 1< / a > ).
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< / p >
< p >
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The control inputs are the forces applied by the actuators of the translation stage (\(F_u\) and \(F_v\)).
As the translation stage is rotating around the Z axis due to the spindle, the forces are applied along \(u\) and \(v\).
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< / p >
< p >
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The measurement is either the \(x-y\) displacement of the object located on top of the translation stage or the \(u-v\) displacement of the sample with respect to a fixed reference frame.
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< / p >
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< div id = "org011c144" class = "figure" >
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< p > < img src = "./Figures/rotating_frame_2dof.png" alt = "rotating_frame_2dof.png" / >
< / p >
< p > < span class = "figure-number" > Figure 1: < / span > Schematic of the mecanical system< / p >
< / div >
< p >
In the following block diagram:
< / p >
< ul class = "org-ul" >
< li > \(G\) is the transfer function from the forces applied in the actuators to the measurement< / li >
< li > \(K\) is the controller to design< / li >
< li > \(J\) is a Jacobian matrix usually used to change the reference frame< / li >
< / ul >
< p >
Indices \(x\) and \(y\) corresponds to signals in the fixed reference frame (along \(\vec{i}_x\) and \(\vec{i}_y\)):
< / p >
< ul class = "org-ul" >
< li > \(D_x\) is the measured position of the sample< / li >
< li > \(r_x\) is the reference signal which corresponds to the wanted \(D_x\)< / li >
< li > \(\epsilon_x\) is the position error< / li >
< / ul >
< p >
Indices \(u\) and \(v\) corresponds to signals in the rotating reference frame (\(\vec{i}_u\) and \(\vec{i}_v\)):
< / p >
< ul class = "org-ul" >
< li > \(F_u\) and \(F_v\) are forces applied by the actuators< / li >
< li > \(\epsilon_u\) and \(\epsilon_v\) are position error of the sample along \(\vec{i}_u\) and \(\vec{i}_v\)< / li >
< / ul >
< / div >
< / div >
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< div id = "outline-container-org781b496" class = "outline-3" >
< h3 id = "org781b496" > < span class = "section-number-3" > 2.2< / span > Equations< / h3 >
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< div class = "outline-text-3" id = "text-2-2" >
< p >
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< a id = "orgd5c3d5e" > < / a >
Based on the figure < a href = "#org011c144" > 1< / a > , we can write the equations of motion of the system.
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< / p >
< p >
Let's express the kinetic energy \(T\) and the potential energy \(V\) of the mass \(m\):
< / p >
\begin{align}
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\label{org6c90b1a}
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T & = \frac{1}{2} m \left( \dot{x}^2 + \dot{y}^2 \right) \\
V & = \frac{1}{2} k \left( x^2 + y^2 \right)
\end{align}
< p >
The Lagrangian is the kinetic energy minus the potential energy.
< / p >
\begin{equation}
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\label{org396b6c0}
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L = T-V = \frac{1}{2} m \left( \dot{x}^2 + \dot{y}^2 \right) - \frac{1}{2} k \left( x^2 + y^2 \right)
\end{equation}
< p >
The partial derivatives of the Lagrangian with respect to the variables \((x, y)\) are:
< / p >
\begin{align*}
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\label{org644214c}
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\frac{\partial L}{\partial x} & = -kx \\
\frac{\partial L}{\partial y} & = -ky \\
\frac{d}{dt}\frac{\partial L}{\partial \dot{x}} & = m\ddot{x} \\
\frac{d}{dt}\frac{\partial L}{\partial \dot{y}} & = m\ddot{y}
\end{align*}
< p >
The external forces applied to the mass are:
< / p >
\begin{align*}
F_{\text{ext}, x} & = F_u \cos{\theta} - F_v \sin{\theta}\\
F_{\text{ext}, y} & = F_u \sin{\theta} + F_v \cos{\theta}
\end{align*}
< p >
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By appling the Lagrangian equations, we obtain:
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< / p >
\begin{align}
m\ddot{x} + kx = F_u \cos{\theta} - F_v \sin{\theta}\\
m\ddot{y} + ky = F_u \sin{\theta} + F_v \cos{\theta}
\end{align}
< p >
We then change coordinates from \((x, y)\) to \((d_x, d_y, \theta)\).
< / p >
\begin{align*}
x & = d_u \cos{\theta} - d_v \sin{\theta}\\
y & = d_u \sin{\theta} + d_v \cos{\theta}
\end{align*}
< p >
We obtain:
< / p >
\begin{align*}
\ddot{x} & = \ddot{d_u} \cos{\theta} - 2\dot{d_u}\dot{\theta}\sin{\theta} - d_u\ddot{\theta}\sin{\theta} - d_u\dot{\theta}^2 \cos{\theta}
- \ddot{d_v} \sin{\theta} - 2\dot{d_v}\dot{\theta}\cos{\theta} - d_v\ddot{\theta}\cos{\theta} + d_v\dot{\theta}^2 \sin{\theta} \\
\ddot{y} & = \ddot{d_u} \sin{\theta} + 2\dot{d_u}\dot{\theta}\cos{\theta} + d_u\ddot{\theta}\cos{\theta} - d_u\dot{\theta}^2 \sin{\theta}
+ \ddot{d_v} \cos{\theta} - 2\dot{d_v}\dot{\theta}\sin{\theta} - d_v\ddot{\theta}\sin{\theta} - d_v\dot{\theta}^2 \cos{\theta} \\
\end{align*}
< p >
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By injecting the previous result into the Lagrangian equation, we obtain:
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< / p >
\begin{align*}
m \ddot{d_u} \cos{\theta} - 2m\dot{d_u}\dot{\theta}\sin{\theta} - m d_u\ddot{\theta}\sin{\theta} - m d_u\dot{\theta}^2 \cos{\theta}
-m \ddot{d_v} \sin{\theta} - 2m\dot{d_v}\dot{\theta}\cos{\theta} - m d_v\ddot{\theta}\cos{\theta} + m d_v\dot{\theta}^2 \sin{\theta}
+ k d_u \cos{\theta} - k d_v \sin{\theta} = F_u \cos{\theta} - F_v \sin{\theta} \\
m \ddot{d_u} \sin{\theta} + 2m\dot{d_u}\dot{\theta}\cos{\theta} + m d_u\ddot{\theta}\cos{\theta} - m d_u\dot{\theta}^2 \sin{\theta}
+ m \ddot{d_v} \cos{\theta} - 2m\dot{d_v}\dot{\theta}\sin{\theta} - m d_v\ddot{\theta}\sin{\theta} - m d_v\dot{\theta}^2 \cos{\theta}
+ k d_u \sin{\theta} + k d_v \cos{\theta} = F_u \sin{\theta} + F_v \cos{\theta}
\end{align*}
< p >
Which is equivalent to:
< / p >
\begin{align*}
m \ddot{d_u} - 2m\dot{d_u}\dot{\theta}\frac{\sin{\theta}}{\cos{\theta}} - m d_u\ddot{\theta}\frac{\sin{\theta}}{\cos{\theta}} - m d_u\dot{\theta}^2
-m \ddot{d_v} \frac{\sin{\theta}}{\cos{\theta}} - 2m\dot{d_v}\dot{\theta} - m d_v\ddot{\theta} + m d_v\dot{\theta}^2 \frac{\sin{\theta}}{\cos{\theta}}
+ k d_u - k d_v \frac{\sin{\theta}}{\cos{\theta}} = F_u - F_v \frac{\sin{\theta}}{\cos{\theta}} \\
m \ddot{d_u} + 2m\dot{d_u}\dot{\theta}\frac{\cos{\theta}}{\sin{\theta}} + m d_u\ddot{\theta}\frac{\cos{\theta}}{\sin{\theta}} - m d_u\dot{\theta}^2
+ m \ddot{d_v} \frac{\cos{\theta}}{\sin{\theta}} - 2m\dot{d_v}\dot{\theta} - m d_v\ddot{\theta} - m d_v\dot{\theta}^2 \frac{\cos{\theta}}{\sin{\theta}}
+ k d_u + k d_v \frac{\cos{\theta}}{\sin{\theta}} = F_u + F_v \frac{\cos{\theta}}{\sin{\theta}}
\end{align*}
< p >
We can then subtract and add the previous equations to obtain the following equations:
< / p >
< div class = "important" >
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\begin{equation}
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\label{org1d6cb6c}
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m \ddot{d_u} + (k - m\dot{\theta}^2) d_u = F_u + 2 m\dot{d_v}\dot{\theta} + m d_v\ddot{\theta}
\end{equation}
\begin{equation}
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\label{org60bad55}
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m \ddot{d_v} + (k - m\dot{\theta}^2) d_v = F_v - 2 m\dot{d_u}\dot{\theta} - m d_u\ddot{\theta}
\end{equation}
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< / div >
< p >
We obtain two differential equations that are coupled through:
< / p >
< ul class = "org-ul" >
< li > < b > Euler forces< / b > : \(m d_v \ddot{\theta}\)< / li >
< li > < b > Coriolis forces< / b > : \(2 m \dot{d_v} \dot{\theta}\)< / li >
< / ul >
< p >
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Without the coupling terms, each equation is the equation of a one degree of freedom mass-spring system with mass \(m\) and stiffness \(k- m\dot{\theta}^2\).
Thus, the term \(- m\dot{\theta}^2\) acts like a negative stiffness (due to < b > centrifugal forces< / b > ).
< / p >
< p >
The forces induced by the rotating reference frame are independent of the stiffness of the actuator.
The resulting effect of those forces should then be higher when using softer actuators.
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< / p >
< / div >
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< / div >
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< div id = "outline-container-org7d39af7" class = "outline-3" >
< h3 id = "org7d39af7" > < span class = "section-number-3" > 2.3< / span > Numerical Values for the NASS< / h3 >
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< div class = "outline-text-3" id = "text-2-3" >
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< p >
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Let's define the parameters for the NASS.
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< / p >
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< table border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
< colgroup >
< col class = "org-left" / >
< col class = "org-right" / >
< / colgroup >
< tbody >
< tr >
< td class = "org-left" > Light sample mass [kg]< / td >
< td class = "org-right" > 3.5e+01< / td >
< / tr >
< tr >
< td class = "org-left" > Heavy sample mass [kg]< / td >
< td class = "org-right" > 8.5e+01< / td >
< / tr >
< tr >
< td class = "org-left" > Max rot. speed - light [rpm]< / td >
< td class = "org-right" > 6.0e+01< / td >
< / tr >
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< tr >
< td class = "org-left" > Max rot. speed - heavy [rpm]< / td >
< td class = "org-right" > 1.0e+00< / td >
< / tr >
< tr >
< td class = "org-left" > Voice Coil Stiffness [N/m]< / td >
< td class = "org-right" > 1.0e+03< / td >
< / tr >
< tr >
< td class = "org-left" > Piezo Stiffness [N/m]< / td >
< td class = "org-right" > 1.0e+08< / td >
< / tr >
< tr >
< td class = "org-left" > Max rot. acceleration [rad/s2]< / td >
< td class = "org-right" > 1.0e+00< / td >
< / tr >
< tr >
< td class = "org-left" > Max mass excentricity [m]< / td >
< td class = "org-right" > 1.0e-02< / td >
< / tr >
< tr >
< td class = "org-left" > Max Horizontal speed [m/s]< / td >
< td class = "org-right" > 2.0e-01< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
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< div id = "outline-container-org1d84966" class = "outline-3" >
< h3 id = "org1d84966" > < span class = "section-number-3" > 2.4< / span > Euler and Coriolis forces - Numerical Result< / h3 >
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< div class = "outline-text-3" id = "text-2-4" >
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< p >
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First we will determine the value for Euler and Coriolis forces during regular experiment.
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< / p >
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< ul class = "org-ul" >
< li > < b > Euler forces< / b > : \(m d_v \ddot{\theta}\)< / li >
< li > < b > Coriolis forces< / b > : \(2 m \dot{d_v} \dot{\theta}\)< / li >
< / ul >
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< p >
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The obtained values are displayed in table < a href = "#org474c489" > 1< / a > .
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< / p >
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< table id = "org474c489" border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
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< caption class = "t-above" > < span class = "table-number" > Table 1:< / span > Euler and Coriolis forces for the NASS< / caption >
< colgroup >
< col class = "org-left" / >
< col class = "org-left" / >
< col class = "org-left" / >
< / colgroup >
< thead >
< tr >
< th scope = "col" class = "org-left" >   < / th >
< th scope = "col" class = "org-left" > Light< / th >
< th scope = "col" class = "org-left" > Heavy< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td class = "org-left" > Coriolis< / td >
< td class = "org-left" > 88.0N< / td >
< td class = "org-left" > 3.6N< / td >
< / tr >
< tr >
< td class = "org-left" > Euler< / td >
< td class = "org-left" > 0.4N< / td >
< td class = "org-left" > 0.8N< / td >
< / tr >
< / tbody >
< / table >
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< / div >
< / div >
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< div id = "outline-container-orgf63781f" class = "outline-3" >
< h3 id = "orgf63781f" > < span class = "section-number-3" > 2.5< / span > Negative Spring Effect - Numerical Result< / h3 >
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< div class = "outline-text-3" id = "text-2-5" >
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< p >
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The negative stiffness due to the rotation is equal to \(-m{\omega_0}^2\).
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< / p >
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< p >
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The values for the negative spring effect are displayed in table < a href = "#org3c789d1" > 2< / a > .
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< / p >
< p >
This is definitely negligible when using piezoelectric actuators. It may not be the case when using voice coil actuators.
< / p >
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< table id = "org3c789d1" border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
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< caption class = "t-above" > < span class = "table-number" > Table 2:< / span > Negative Spring effect< / caption >
< colgroup >
< col class = "org-left" / >
< col class = "org-left" / >
< col class = "org-left" / >
< / colgroup >
< thead >
< tr >
< th scope = "col" class = "org-left" >   < / th >
< th scope = "col" class = "org-left" > Light< / th >
< th scope = "col" class = "org-left" > Heavy< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td class = "org-left" > Neg. Spring< / td >
< td class = "org-left" > 1381.7[N/m]< / td >
< td class = "org-left" > 0.9[N/m]< / td >
< / tr >
< / tbody >
< / table >
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< / div >
< / div >
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< div id = "outline-container-org30cf781" class = "outline-3" >
< h3 id = "org30cf781" > < span class = "section-number-3" > 2.6< / span > Limitations due to coupling< / h3 >
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< div class = "outline-text-3" id = "text-2-6" >
< p >
To simplify, we consider a constant rotating speed \(\dot{\theta} = {\omega_0}\) and thus \(\ddot{\theta} = 0\).
< / p >
< p >
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From equations \eqref{org1d6cb6c} and \eqref{org60bad55}, we obtain:
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< / p >
\begin{align*}
(m s^2 + (k - m{\omega_0}^2)) d_u & = F_u + 2 m {\omega_0} s d_v \\
(m s^2 + (k - m{\omega_0}^2)) d_v & = F_v - 2 m {\omega_0} s d_u \\
\end{align*}
< p >
From second equation:
\[ d_v = \frac{1}{m s^2 + (k - m{\omega_0}^2)} F_v - \frac{2 m {\omega_0} s}{m s^2 + (k - m{\omega_0}^2)} d_u \]
< / p >
< p >
And we re-inject \(d_v\) into the first equation:
< / p >
\begin{equation*}
(m s^2 + (k - m{\omega_0}^2)) d_u = F_u + \frac{2 m {\omega_0} s}{m s^2 + (k - m{\omega_0}^2)} F_v - \frac{(2 m {\omega_0} s)^2}{m s^2 + (k - m{\omega_0}^2)} d_u
\end{equation*}
\begin{equation*}
\frac{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2}{m s^2 + (k - m{\omega_0}^2)} d_u = F_u + \frac{2 m {\omega_0} s}{m s^2 + (k - m{\omega_0}^2)} F_v
\end{equation*}
< p >
Finally we obtain \(d_u\) function of \(F_u\) and \(F_v\).
\[ d_u = \frac{m s^2 + (k - m{\omega_0}^2)}{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2} F_u + \frac{2 m {\omega_0} s}{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2} F_v \]
< / p >
< p >
Similarly we can obtain \(d_v\) function of \(F_u\) and \(F_v\):
\[ d_v = \frac{m s^2 + (k - m{\omega_0}^2)}{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2} F_v - \frac{2 m {\omega_0} s}{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2} F_u \]
< / p >
< p >
The two previous equations can be written in a matrix form:
< / p >
< div class = "important" >
\begin{equation}
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\label{org2f2e04f}
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\begin{bmatrix} d_u \\ d_v \end{bmatrix} =
\frac{1}{(m s^2 + (k - m{\omega_0}^2))^2 + (2 m {\omega_0} s)^2}
\begin{bmatrix}
ms^2 + (k-m{\omega_0}^2) & 2 m \omega_0 s \\
-2 m \omega_0 s & ms^2 + (k-m{\omega_0}^2) \\
\end{bmatrix}
\begin{bmatrix} F_u \\ F_v \end{bmatrix}
\end{equation}
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< / div >
2019-01-18 17:18:02 +01:00
< p >
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Then, coupling is negligible if \(|-m \omega^2 + (k - m{\omega_0}^2)| \gg |2 m {\omega_0} \omega|\).
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< / p >
< / div >
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< div id = "outline-container-orgbcc7a5a" class = "outline-4" >
< h4 id = "orgbcc7a5a" > < span class = "section-number-4" > 2.6.1< / span > Numerical Analysis< / h4 >
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< div class = "outline-text-4" id = "text-2-6-1" >
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< p >
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We plot on the same graph \(\frac{|-m \omega^2 + (k - m {\omega_0}^2)|}{|2 m \omega_0 \omega|}\) for the voice coil and the piezo:
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< / p >
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< ul class = "org-ul" >
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< li > with the light sample (figure < a href = "#org3bb3e4c" > 2< / a > ).< / li >
< li > with the heavy sample (figure < a href = "#org65d8383" > 3< / a > ).< / li >
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< / ul >
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< div id = "org3bb3e4c" class = "figure" >
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< p > < img src = "Figures/coupling_light.png" alt = "coupling_light.png" / >
< / p >
< p > < span class = "figure-number" > Figure 2: < / span > Relative Coupling for light mass and high rotation speed< / p >
< / div >
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< div id = "org65d8383" class = "figure" >
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< p > < img src = "Figures/coupling_heavy.png" alt = "coupling_heavy.png" / >
< / p >
< p > < span class = "figure-number" > Figure 3: < / span > Relative Coupling for heavy mass and low rotation speed< / p >
< / div >
< div class = "important" >
< p >
Coupling is higher for actuators with small stiffness.
< / p >
2019-01-18 17:18:02 +01:00
2019-01-21 23:33:23 +01:00
< / div >
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< / div >
2019-01-18 17:46:54 +01:00
< / div >
< / div >
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< div id = "outline-container-org667f040" class = "outline-3" >
< h3 id = "org667f040" > < span class = "section-number-3" > 2.7< / span > Limitations due to negative stiffness effect< / h3 >
2019-01-21 23:33:23 +01:00
< div class = "outline-text-3" id = "text-2-7" >
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< p >
2019-01-21 23:33:23 +01:00
If \(\max{\dot{\theta}} \ll \sqrt{\frac{k}{m}}\), then the negative spring effect is negligible and \(k - m\dot{\theta}^2 \approx k\).
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< / p >
2019-01-18 17:18:02 +01:00
< p >
2019-01-29 09:32:29 +01:00
Let's estimate what is the maximum rotation speed for which the negative stiffness effect is still negligible (\(\omega_\text{max} = 0.1 \sqrt{\frac{k}{m}}\)). Results are shown table < a href = "#org9022122" > 3< / a > .
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< / p >
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< table id = "org9022122" border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
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< caption class = "t-above" > < span class = "table-number" > Table 3:< / span > Maximum rotation speed at which negative stiffness is negligible (\(0.1\sqrt{\frac{k}{m}}\))< / caption >
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< colgroup >
< col class = "org-left" / >
< col class = "org-left" / >
< col class = "org-left" / >
< / colgroup >
< thead >
< tr >
< th scope = "col" class = "org-left" >   < / th >
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< th scope = "col" class = "org-left" > Voice Coil< / th >
< th scope = "col" class = "org-left" > Piezo< / th >
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< / tr >
< / thead >
< tbody >
< tr >
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< td class = "org-left" > Light< / td >
< td class = "org-left" > 5[rpm]< / td >
< td class = "org-left" > 1614[rpm]< / td >
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< / tr >
< tr >
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< td class = "org-left" > Heavy< / td >
< td class = "org-left" > 3[rpm]< / td >
< td class = "org-left" > 1036[rpm]< / td >
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< / tr >
< / tbody >
< / table >
2019-01-21 23:33:23 +01:00
< p >
The negative spring effect is proportional to the rotational speed \(\omega\).
The system dynamics will be much more affected when using soft actuator.
< / p >
< div class = "important" >
< p >
Negative stiffness effect has very important effect when using soft actuators.
< / p >
2019-01-18 17:18:02 +01:00
< / div >
< p >
2019-01-21 23:33:23 +01:00
The system can even goes unstable when \(m \omega^2 > k\), that is when the centrifugal forces are higher than the forces due to stiffness.
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< / p >
2019-01-21 23:33:23 +01:00
< p >
2019-01-29 09:32:29 +01:00
From this analysis, we can determine the lowest practical stiffness that is possible to use: \(k_\text{min} = 10 m \omega^2\) (table < a href = "#orgdf4db5d" > 4< / a > )
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< / p >
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< table id = "orgdf4db5d" border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
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< caption class = "t-above" > < span class = "table-number" > Table 4:< / span > Minimum possible stiffness< / caption >
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< colgroup >
< col class = "org-left" / >
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< col class = "org-right" / >
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< col class = "org-right" / >
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< / colgroup >
< thead >
< tr >
< th scope = "col" class = "org-left" >   < / th >
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< th scope = "col" class = "org-right" > Light< / th >
< th scope = "col" class = "org-right" > Heavy< / th >
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< / tr >
< / thead >
< tbody >
< tr >
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< td class = "org-left" > k min [N/m]< / td >
< td class = "org-right" > 2199< / td >
< td class = "org-right" > 89< / td >
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< / tr >
< / tbody >
< / table >
< / div >
< / div >
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< div id = "outline-container-org4d623a3" class = "outline-3" >
< h3 id = "org4d623a3" > < span class = "section-number-3" > 2.8< / span > Effect of rotation speed on the plant< / h3 >
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< div class = "outline-text-3" id = "text-2-8" >
< p >
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As shown in equation \eqref{org2f2e04f}, the plant changes with the rotation speed \(\omega_0\).
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< / p >
< p >
Then, we compute the bode plot of the direct term and coupling term for multiple rotating speed.
< / p >
< p >
Then we compare the result between voice coil and piezoelectric actuators.
< / p >
< / div >
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< div id = "outline-container-org8fe1f44" class = "outline-4" >
< h4 id = "org8fe1f44" > < span class = "section-number-4" > 2.8.1< / span > Voice coil actuator< / h4 >
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< div class = "outline-text-4" id = "text-2-8-1" >
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< div id = "org63dfc30" class = "figure" >
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< p > < img src = "Figures/G_ws_vc.png" alt = "G_ws_vc.png" / >
< / p >
< p > < span class = "figure-number" > Figure 4: < / span > Bode plot of the direct transfer function term (from \(F_u\) to \(D_u\)) for multiple rotation speed - Voice coil< / p >
< / div >
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< div id = "org6e43d21" class = "figure" >
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< p > < img src = "Figures/Gc_ws_vc.png" alt = "Gc_ws_vc.png" / >
< / p >
< p > < span class = "figure-number" > Figure 5: < / span > Bode plot of the coupling transfer function term (from \(F_u\) to \(D_v\)) for multiple rotation speed - Voice coil< / p >
< / div >
< / div >
< / div >
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< div id = "outline-container-org5f61651" class = "outline-4" >
< h4 id = "org5f61651" > < span class = "section-number-4" > 2.8.2< / span > Piezoelectric actuator< / h4 >
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< div class = "outline-text-4" id = "text-2-8-2" >
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< div id = "orgb654c87" class = "figure" >
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< p > < img src = "Figures/G_ws_pz.png" alt = "G_ws_pz.png" / >
< / p >
< p > < span class = "figure-number" > Figure 6: < / span > Bode plot of the direct transfer function term (from \(F_u\) to \(D_u\)) for multiple rotation speed - Piezoelectric actuator< / p >
< / div >
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< div id = "orgf869ce3" class = "figure" >
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< p > < img src = "Figures/Gc_ws_pz.png" alt = "Gc_ws_pz.png" / >
< / p >
< p > < span class = "figure-number" > Figure 7: < / span > Bode plot of the coupling transfer function term (from \(F_u\) to \(D_v\)) for multiple rotation speed - Piezoelectric actuator< / p >
< / div >
< / div >
< / div >
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< div id = "outline-container-org768c82b" class = "outline-4" >
< h4 id = "org768c82b" > < span class = "section-number-4" > 2.8.3< / span > Analysis< / h4 >
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< div class = "outline-text-4" id = "text-2-8-3" >
< p >
When the rotation speed is null, the coupling terms are equal to zero and the diagonal terms corresponds to one degree of freedom mass spring system.
< / p >
< p >
When the rotation speed in not null, the resonance frequency is duplicated into two pairs of complex conjugate poles.
< / p >
< p >
As the rotation speed increases, one of the two resonant frequency goes to lower frequencies as the other one goes to higher frequencies.
< / p >
< p >
The poles of the coupling terms are the same as the poles of the diagonal terms. The magnitude of the coupling terms are increasing with the rotation speed.
< / p >
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< div class = "important" >
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< p >
As shown in the previous figures, the system with voice coil is much more sensitive to rotation speed.
< / p >
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< / div >
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< / div >
< / div >
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< div id = "outline-container-org1867928" class = "outline-4" >
< h4 id = "org1867928" > < span class = "section-number-4" > 2.8.4< / span > Campbell diagram< / h4 >
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< div class = "outline-text-4" id = "text-2-8-4" >
< p >
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The poles of the system are computed for multiple values of the rotation frequency. To simplify the computation of the poles, we add some damping to the system.
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< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > m = mlight;
k = kvc;
c = < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #6434A3;" > *< / span > sqrt< span style = "color: #707183;" > (< / span > k< span style = "color: #6434A3;" > *< / span > m< span style = "color: #707183;" > )< / span > ;
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wsvc = linspace< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 0< / span > , < span style = "color: #D0372D;" > 10< / span > , < span style = "color: #D0372D;" > 100< / span > < span style = "color: #707183;" > )< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % [rad/s]< / span >
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polesvc = zeros< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > , length< span style = "color: #7388D6;" > (< / span > wsvc< span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
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< span style = "color: #0000FF;" > for< / span > < span style = "color: #BA36A5;" > i< / span > = < span style = "color: #D0372D;" > 1< / span > < span style = "color: #D0372D;" > :length< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > wsvc< / span > < span style = "color: #707183;" > )< / span >
polei = pole< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #7388D6;" > (< / span > < span style = "color: #909183;" > (< / span > m< span style = "color: #6434A3;" > *< / span > s< span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > +< / span > c< span style = "color: #6434A3;" > *< / span > s < span style = "color: #6434A3;" > +< / span > < span style = "color: #709870;" > (< / span > k < span style = "color: #6434A3;" > -< / span > m< span style = "color: #6434A3;" > *< / span > wsvc< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > i< / span > < span style = "color: #907373;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > +< / span > < span style = "color: #909183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > m< span style = "color: #6434A3;" > *< / span > wsvc< span style = "color: #709870;" > (< / span > < span style = "color: #D0372D;" > i< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #6434A3;" > *< / span > s< span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
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polesvc< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > :< / span > , < span style = "color: #D0372D;" > i< / span > < span style = "color: #707183;" > )< / span > = sort< span style = "color: #707183;" > (< / span > polei< span style = "color: #7388D6;" > (< / span > imag< span style = "color: #909183;" > (< / span > polei< span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > > < / span > < span style = "color: #D0372D;" > 0< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #0000FF;" > end< / span >
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > m = mlight;
k = kpz;
c = < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #6434A3;" > *< / span > sqrt< span style = "color: #707183;" > (< / span > k< span style = "color: #6434A3;" > *< / span > m< span style = "color: #707183;" > )< / span > ;
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wspz = linspace< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 0< / span > , < span style = "color: #D0372D;" > 1000< / span > , < span style = "color: #D0372D;" > 100< / span > < span style = "color: #707183;" > )< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % [rad/s]< / span >
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polespz = zeros< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > , length< span style = "color: #7388D6;" > (< / span > wspz< span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
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< span style = "color: #0000FF;" > for< / span > < span style = "color: #BA36A5;" > i< / span > = < span style = "color: #D0372D;" > 1< / span > < span style = "color: #D0372D;" > :length< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > wspz< / span > < span style = "color: #707183;" > )< / span >
polei = pole< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #7388D6;" > (< / span > < span style = "color: #909183;" > (< / span > m< span style = "color: #6434A3;" > *< / span > s< span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > +< / span > c< span style = "color: #6434A3;" > *< / span > s < span style = "color: #6434A3;" > +< / span > < span style = "color: #709870;" > (< / span > k < span style = "color: #6434A3;" > -< / span > m< span style = "color: #6434A3;" > *< / span > wspz< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > i< / span > < span style = "color: #907373;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > +< / span > < span style = "color: #909183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > m< span style = "color: #6434A3;" > *< / span > wspz< span style = "color: #709870;" > (< / span > < span style = "color: #D0372D;" > i< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #6434A3;" > *< / span > s< span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > ^< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
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polespz< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > :< / span > , < span style = "color: #D0372D;" > i< / span > < span style = "color: #707183;" > )< / span > = sort< span style = "color: #707183;" > (< / span > polei< span style = "color: #7388D6;" > (< / span > imag< span style = "color: #909183;" > (< / span > polei< span style = "color: #909183;" > )< / span > < span style = "color: #6434A3;" > > < / span > < span style = "color: #D0372D;" > 0< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #0000FF;" > end< / span >
< / pre >
< / div >
< p >
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We then plot the real and imaginary part of the poles as a function of the rotation frequency (figures < a href = "#orga9cb62f" > 8< / a > and < a href = "#org144a72c" > 9< / a > ).
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< / p >
< p >
When the real part of one pole becomes positive, the system goes unstable.
< / p >
< p >
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For the voice coil (figure < a href = "#orga9cb62f" > 8< / a > ), the system is unstable when the rotation speed is above 5 rad/s. The real and imaginary part of the poles of the system with piezoelectric actuators are changing much less (figure < a href = "#org144a72c" > 9< / a > ).
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< / p >
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< div id = "orga9cb62f" class = "figure" >
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< p > < img src = "Figures/poles_w_vc.png" alt = "poles_w_vc.png" / >
< / p >
< p > < span class = "figure-number" > Figure 8: < / span > Real and Imaginary part of the poles of the system as a function of the rotation speed - Voice Coil and light sample< / p >
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< / div >
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< div id = "org144a72c" class = "figure" >
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< p > < img src = "Figures/poles_w_pz.png" alt = "poles_w_pz.png" / >
< / p >
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< p > < span class = "figure-number" > Figure 9: < / span > Real and Imaginary part of the poles of the system as a function of the rotation speed - Piezoelectric actuator and light sample< / p >
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< / div >
< / div >
< / div >
< / div >
< / div >
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< div id = "outline-container-org51aa0dc" class = "outline-2" >
< h2 id = "org51aa0dc" > < span class = "section-number-2" > 3< / span > Control Strategies< / h2 >
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< div class = "outline-text-2" id = "text-3" >
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< p >
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< a id = "org5e18e8b" > < / a >
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< / p >
< / div >
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< div id = "outline-container-orgd596ce3" class = "outline-3" >
< h3 id = "orgd596ce3" > < span class = "section-number-3" > 3.1< / span > Measurement in the fixed reference frame< / h3 >
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< div class = "outline-text-3" id = "text-3-1" >
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< p >
First, let's consider a measurement in the fixed referenced frame.
< / p >
< p >
The transfer function from actuator \([F_u, F_v]\) to sensor \([D_x, D_y]\) is then \(G(\theta)\).
< / p >
< p >
Then the measurement is subtracted to the reference signal \([r_x, r_y]\) to obtain the position error in the fixed reference frame \([\epsilon_x, \epsilon_y]\).
< / p >
< p >
The position error \([\epsilon_x, \epsilon_y]\) is then express in the rotating frame corresponding to the actuators \([\epsilon_u, \epsilon_v]\).
< / p >
< p >
Finally, the control low \(K\) links the position errors \([\epsilon_u, \epsilon_v]\) to the actuator forces \([F_u, F_v]\).
< / p >
< p >
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The block diagram is shown on figure < a href = "#org8d6ca3c" > 10< / a > .
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< / p >
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< div id = "org8d6ca3c" class = "figure" >
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< p > < img src = "./Figures/control_measure_fixed_2dof.png" alt = "control_measure_fixed_2dof.png" / >
< / p >
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< p > < span class = "figure-number" > Figure 10: < / span > Control with a measure from fixed frame< / p >
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< / div >
< p >
The loop gain is then \(L = G(\theta) K J(\theta)\).
< / p >
< p >
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One question we wish to answer is: is \(G(\theta) J(\theta) = G(\theta_0) J(\theta_0)\)?
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< / p >
< / div >
< / div >
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< div id = "outline-container-org0e9b7e7" class = "outline-3" >
< h3 id = "org0e9b7e7" > < span class = "section-number-3" > 3.2< / span > Measurement in the rotating frame< / h3 >
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< div class = "outline-text-3" id = "text-3-2" >
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< p >
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Let's consider that the measurement is made in the rotating reference frame.
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< / p >
< p >
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The corresponding block diagram is shown figure < a href = "#orgadd1563" > 11< / a >
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< / p >
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< div id = "orgadd1563" class = "figure" >
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< p > < img src = "./Figures/control_measure_rotating_2dof.png" alt = "control_measure_rotating_2dof.png" / >
< / p >
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< p > < span class = "figure-number" > Figure 11: < / span > Control with a measure from rotating frame< / p >
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< / div >
< p >
The loop gain is \(L = G K\).
< / p >
< / div >
< / div >
< / div >
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< div id = "outline-container-org83a991e" class = "outline-2" >
< h2 id = "org83a991e" > < span class = "section-number-2" > 4< / span > Multi Body Model - Simscape< / h2 >
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< div class = "outline-text-2" id = "text-4" >
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< p >
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< a id = "org6be2579" > < / a >
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< / p >
< / div >
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< div id = "outline-container-orge9f5b3d" class = "outline-3" >
< h3 id = "orge9f5b3d" > < span class = "section-number-3" > 4.1< / span > Initialization< / h3 >
< div class = "outline-text-3" id = "text-4-1" >
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< p >
First we define the parameters that must be defined in order to run the Simscape simulation.
< / p >
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< div class = "org-src-container" >
< pre class = "src src-matlab" > w = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Rotation speed [rad/s]< / span >
theta_e = < span style = "color: #D0372D;" > 0< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Static measurement error on the angle theta [rad]< / span >
m = < span style = "color: #D0372D;" > 5< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % mass of the sample [kg]< / span >
mTuv = < span style = "color: #D0372D;" > 30< / span > ;< span style = "color: #8D8D84; font-style: italic;" > % Mass of the moving part of the Tuv stage [kg]< / span >
kTuv = < span style = "color: #D0372D;" > 1e8< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Stiffness of the Tuv stage [N/m]< / span >
cTuv = < span style = "color: #D0372D;" > 0< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Damping of the Tuv stage [N/(m/s)]< / span >
< / pre >
< / div >
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< p >
Then, we defined parameters that will be used in the following analysis.
< / p >
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< div class = "org-src-container" >
< pre class = "src src-matlab" > mlight = < span style = "color: #D0372D;" > 5< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Mass for light sample [kg]< / span >
mheavy = < span style = "color: #D0372D;" > 55< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Mass for heavy sample [kg]< / span >
wlight = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Max rot. speed for light sample [rad/s]< / span >
wheavy = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #D0372D;" > 60< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Max rot. speed for heavy sample [rad/s]< / span >
kvc = < span style = "color: #D0372D;" > 1e3< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Voice Coil Stiffness [N/m]< / span >
kpz = < span style = "color: #D0372D;" > 1e8< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Piezo Stiffness [N/m]< / span >
d = < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 01< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Maximum excentricity from rotational axis [m]< / span >
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freqs = logspace< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > -< / span > < span style = "color: #D0372D;" > 2< / span > , < span style = "color: #D0372D;" > 3< / span > , < span style = "color: #D0372D;" > 1000< / span > < span style = "color: #707183;" > )< / span > ; < span style = "color: #8D8D84; font-style: italic;" > % Frequency vector for analysis [Hz]< / span >
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< / pre >
< / div >
< / div >
< / div >
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< div id = "outline-container-org4e1d752" class = "outline-3" >
< h3 id = "org4e1d752" > < span class = "section-number-3" > 4.2< / span > Identification in the rotating referenced frame< / h3 >
< div class = "outline-text-3" id = "text-4-2" >
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< p >
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We initialize the inputs and outputs of the system to identify:
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< / p >
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< ul class = "org-ul" >
< li > Inputs: \(f_u\) and \(f_v\)< / li >
< li > Outputs: \(d_u\) and \(d_v\)< / li >
< / ul >
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< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Options for Linearized< / span >
options = linearizeOptions;
options.SampleTime = < span style = "color: #D0372D;" > 0< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Name of the Simulink File< / span >
mdl = < span style = "color: #008000;" > 'rotating_frame'< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output definition< / span >
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fu'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fv'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 3< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > du'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 4< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > dv'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
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< p >
We start we identify the transfer functions at high speed with the light sample.
< / p >
< div class = "org-src-container" >
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< pre class = "src src-matlab" > w = wlight; < span style = "color: #8D8D84; font-style: italic;" > % Rotation speed [rad/s]< / span >
m = mlight; < span style = "color: #8D8D84; font-style: italic;" > % mass of the sample [kg]< / span >
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kTuv = kpz;
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Gpz_light = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
Gpz_light.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gpz_light.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
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kTuv = kvc;
Gvc_light = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
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Gvc_light.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gvc_light.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
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< / div >
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< p >
Then we identify the system with an heavy mass and low speed.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > w = wheavy; < span style = "color: #8D8D84; font-style: italic;" > % Rotation speed [rad/s]< / span >
m = mheavy; < span style = "color: #8D8D84; font-style: italic;" > % mass of the sample [kg]< / span >
kTuv = kpz;
Gpz_heavy = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
Gpz_heavy.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gpz_heavy.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
kTuv = kvc;
Gvc_heavy = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
Gvc_heavy.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gvc_heavy.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
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< / div >
< / div >
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< div id = "outline-container-org92d2ba4" class = "outline-3" >
< h3 id = "org92d2ba4" > < span class = "section-number-3" > 4.3< / span > Coupling ratio between \(f_{uv}\) and \(d_{uv}\)< / h3 >
< div class = "outline-text-3" id = "text-4-3" >
< p >
In order to validate the equations written, we can compute the coupling ratio using the simscape model and compare with the equations.
< / p >
< p >
From the previous identification, we plot the coupling ratio in both case (figure < a href = "#org8ea81b7" > 12< / a > ).
< / p >
< p >
We obtain the same result than the analytical case (figures < a href = "#org3bb3e4c" > 2< / a > and < a href = "#org65d8383" > 3< / a > ).
< / p >
< div id = "org8ea81b7" class = "figure" >
< p > < img src = "Figures/coupling_ratio_light_heavy.png" alt = "coupling_ratio_light_heavy.png" / >
< / p >
< / div >
< / div >
< / div >
< div id = "outline-container-orgd97817a" class = "outline-3" >
< h3 id = "orgd97817a" > < span class = "section-number-3" > 4.4< / span > Plant Control - SISO approach< / h3 >
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< div class = "outline-text-3" id = "text-4-4" >
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< / div >
< div id = "outline-container-orgb50b663" class = "outline-4" >
< h4 id = "orgb50b663" > < span class = "section-number-4" > 4.4.1< / span > Plant identification< / h4 >
< div class = "outline-text-4" id = "text-4-4-1" >
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< p >
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The goal is to study the control problems due to the coupling that appears because of the rotation.
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< / p >
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< p >
First, we identify the system when the rotation speed is null and then when the rotation speed is equal to 60rpm.
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< / p >
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< p >
The actuators are voice coil with some damping added.
< / p >
< p >
The bode plot of the system not rotating and rotating at 60rpm is shown figure < a href = "#org96fd3af" > 13< / a > .
< / p >
< div id = "org96fd3af" class = "figure" >
< p > < img src = "Figures/Gvc_speed.png" alt = "Gvc_speed.png" / >
< / p >
< p > < span class = "figure-number" > Figure 13: < / span > Bode plot of the system not rotating and rotating at 60rmp - Voice coil and light sample< / p >
< / div >
< / div >
< / div >
< div id = "outline-container-orgb760a5c" class = "outline-4" >
< h4 id = "orgb760a5c" > < span class = "section-number-4" > 4.4.2< / span > Controller design< / h4 >
< div class = "outline-text-4" id = "text-4-4-2" >
< p >
We design a controller based on the identification when the system is not rotating.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > sisotool< span style = "color: #707183;" > (< / span > Gvc< span style = "color: #7388D6;" > (< / span > < span style = "color: #008000;" > 'Du', 'fu'< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span >
< / pre >
< / div >
< p >
The controller is a lead-lag controller with the following transfer function.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > Kll = < span style = "color: #D0372D;" > 2< / span > .< span style = "color: #D0372D;" > 0698e09< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #707183;" > (< / span > s< span style = "color: #6434A3;" > +< / span > < span style = "color: #D0372D;" > 40< / span > .< span style = "color: #D0372D;" > 45< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #707183;" > (< / span > s< span style = "color: #6434A3;" > +< / span > < span style = "color: #D0372D;" > 1< / span > .< span style = "color: #D0372D;" > 181< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #707183;" > (< / span > s< span style = "color: #6434A3;" > *< / span > < span style = "color: #7388D6;" > (< / span > s< span style = "color: #6434A3;" > +< / span > < span style = "color: #D0372D;" > 198< / span > .< span style = "color: #D0372D;" > 4< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #7388D6;" > (< / span > s< span style = "color: #6434A3;" > +< / span > < span style = "color: #D0372D;" > 2790< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
K = < span style = "color: #707183;" > [< / span > Kll < span style = "color: #D0372D;" > 0< / span > ;
< span style = "color: #D0372D;" > 0< / span > Kll< span style = "color: #707183;" > ]< / span > ;
< / pre >
< / div >
< p >
The loop gain is displayed figure < a href = "#org39b3ba3" > 14< / a > .
< / p >
< div id = "org39b3ba3" class = "figure" >
< p > < img src = "Figures/Gvc_loop_gain.png" alt = "Gvc_loop_gain.png" / >
< / p >
< p > < span class = "figure-number" > Figure 14: < / span > Loop gain obtained for a lead-lag controller on the system with a voice coil< / p >
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< / div >
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< / div >
< / div >
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< div id = "outline-container-org4dd2398" class = "outline-4" >
< h4 id = "org4dd2398" > < span class = "section-number-4" > 4.4.3< / span > Controlling the rotating system< / h4 >
< div class = "outline-text-4" id = "text-4-4-3" >
< p >
We here want to see if the system is robust with respect to the rotation speed. We then use the controller based on the non-rotating system, and see if the system is stable and its dynamics.
< / p >
< p >
We can then plot the same loop gain with the rotating system using the same controller (figure < a href = "#org732e519" > 15< / a > ). The result obtained is unstable.
< / p >
< div id = "org732e519" class = "figure" >
< p > < img src = "Figures/Gtvc_loop_gain.png" alt = "Gtvc_loop_gain.png" / >
< / p >
< p > < span class = "figure-number" > Figure 15: < / span > Loop gain with the rotating system< / p >
< / div >
< p >
We can look at the poles of the system where we control only one direction (\(u\) for instance). We obtain a pole with a positive real part.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > pole< span style = "color: #707183;" > (< / span > feedback< span style = "color: #7388D6;" > (< / span > Gtvc, blkdiag< span style = "color: #909183;" > (< / span > Kll, < span style = "color: #D0372D;" > 0< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span >
< / pre >
< / div >
< table border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
< colgroup >
< col class = "org-right" / >
< / colgroup >
< tbody >
< tr >
< td class = "org-right" > -2798< / td >
< / tr >
< tr >
< td class = "org-right" > -58.906+94.246i< / td >
< / tr >
< tr >
< td class = "org-right" > -58.906-94.246i< / td >
< / tr >
< tr >
< td class = "org-right" > -71.654< / td >
< / tr >
< tr >
< td class = "org-right" > 3.1648< / td >
< / tr >
< tr >
< td class = "org-right" > -3.3031< / td >
< / tr >
< tr >
< td class = "org-right" > -1.1902< / td >
< / tr >
< / tbody >
< / table >
< p >
However, when we look at the poles of the closed loop with a diagonal controller, all the poles have negative real part and the system is stable.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > pole< span style = "color: #707183;" > (< / span > feedback< span style = "color: #7388D6;" > (< / span > Gtvc, blkdiag< span style = "color: #909183;" > (< / span > Kll, Kll< span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span >
< / pre >
< / div >
< table border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
< colgroup >
< col class = "org-left" / >
< / colgroup >
< tbody >
< tr >
< td class = "org-left" > -2798+0.035765i< / td >
< / tr >
< tr >
< td class = "org-left" > -2798-0.035765i< / td >
< / tr >
< tr >
< td class = "org-left" > -56.406+105.34i< / td >
< / tr >
< tr >
< td class = "org-left" > -56.406-105.34i< / td >
< / tr >
< tr >
< td class = "org-left" > -64.482+79.308i< / td >
< / tr >
< tr >
< td class = "org-left" > -64.482-79.308i< / td >
< / tr >
< tr >
< td class = "org-left" > -68.521+13.503i< / td >
< / tr >
< tr >
< td class = "org-left" > -68.521-13.503i< / td >
< / tr >
< tr >
< td class = "org-left" > -1.1837+0.0041777i< / td >
< / tr >
< tr >
< td class = "org-left" > -1.1837-0.0041777i< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< div id = "outline-container-org638ddef" class = "outline-4" >
< h4 id = "org638ddef" > < span class = "section-number-4" > 4.4.4< / span > Close loop performance< / h4 >
< div class = "outline-text-4" id = "text-4-4-4" >
< p >
First, we create the closed loop systems. Then, we plot the transfer function from the reference signals \([\epsilon_u, \epsilon_v]\) to the output \([d_u, d_v]\) (figure < a href = "#org1827a8f" > 16< / a > ).
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > K.InputName = < span style = "color: #008000;" > 'e'< / span > ;
K.OutputName = < span style = "color: #008000;" > 'u'< / span > ;
Gtvc.InputName = < span style = "color: #008000;" > 'u'< / span > ;
Gtvc.OutputName = < span style = "color: #008000;" > 'y'< / span > ;
Gvc.InputName = < span style = "color: #008000;" > 'u'< / span > ;
Gvc.OutputName = < span style = "color: #008000;" > 'y'< / span > ;
Sum = sumblk< span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > 'e = r-y'< / span > , < span style = "color: #D0372D;" > 2< / span > < span style = "color: #707183;" > )< / span > ;
Tvc = connect< span style = "color: #707183;" > (< / span > Gvc, K, Sum, < span style = "color: #008000;" > 'r', 'y'< / span > < span style = "color: #707183;" > )< / span > ;
Ttvc = connect< span style = "color: #707183;" > (< / span > Gtvc, K, Sum, < span style = "color: #008000;" > 'r', 'y'< / span > < span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > freqs = logspace< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > -< / span > < span style = "color: #D0372D;" > 2< / span > , < span style = "color: #D0372D;" > 2< / span > , < span style = "color: #D0372D;" > 1000< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #6434A3;" > figure< / span > ;
ax1 = subplot< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > ,< span style = "color: #D0372D;" > 2< / span > ,< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
hold on;
plot< span style = "color: #707183;" > (< / span > freqs, abs< span style = "color: #7388D6;" > (< / span > squeeze< span style = "color: #909183;" > (< / span > freqresp< span style = "color: #709870;" > (< / span > Tvc< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > 1< / span > , < span style = "color: #D0372D;" > 1< / span > < span style = "color: #907373;" > )< / span > , freqs, < span style = "color: #008000;" > 'Hz'< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
plot< span style = "color: #707183;" > (< / span > freqs, abs< span style = "color: #7388D6;" > (< / span > squeeze< span style = "color: #909183;" > (< / span > freqresp< span style = "color: #709870;" > (< / span > Ttvc< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > 1< / span > , < span style = "color: #D0372D;" > 1< / span > < span style = "color: #907373;" > )< / span > , freqs, < span style = "color: #008000;" > 'Hz'< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
hold off;
xlim< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > freqs< span style = "color: #909183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #909183;" > )< / span > , freqs< span style = "color: #909183;" > (< / span > end< span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #6434A3;" > set< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #BA36A5;" > gca< / span > , < span style = "color: #008000;" > 'XScale', 'log'< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #008000;" > ; set< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > gca, 'YScale', 'log'< / span > < span style = "color: #707183;" > )< / span > ;
xlabel< span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > 'Frequency < / span > < span style = "color: #7388D6;" > [< / span > < span style = "color: #008000;" > Hz< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #008000;" > '< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #008000;" > ; ylabel< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > 'Magnitude < / span > < span style = "color: #7388D6;" > [< / span > < span style = "color: #008000;" > m/N< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #008000;" > '< / span > < span style = "color: #707183;" > )< / span > ;
legend< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > {< / span > 'w = < span style = "color: #D0372D;" > 0< / span > < span style = "color: #909183;" > [< / span > rpm< span style = "color: #909183;" > ]< / span > ', 'w = < span style = "color: #D0372D;" > 60< / span > < span style = "color: #909183;" > [< / span > rpm< span style = "color: #909183;" > ]< / span > '< span style = "color: #7388D6;" > }< / span > , 'Location', 'southwest'< span style = "color: #707183;" > )< / span >
title< span style = "color: #707183;" > (< / span > '$G_< span style = "color: #7388D6;" > {< / span > r_u < span style = "color: #6434A3;" > \< / span > to d_u< span style = "color: #7388D6;" > }< / span > $'< span style = "color: #707183;" > )< / span >
ax2 = subplot< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > ,< span style = "color: #D0372D;" > 2< / span > ,< span style = "color: #D0372D;" > 2< / span > < span style = "color: #707183;" > )< / span > ;
hold on;
plot< span style = "color: #707183;" > (< / span > freqs, abs< span style = "color: #7388D6;" > (< / span > squeeze< span style = "color: #909183;" > (< / span > freqresp< span style = "color: #709870;" > (< / span > Tvc< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > 1< / span > , < span style = "color: #D0372D;" > 2< / span > < span style = "color: #907373;" > )< / span > , freqs, < span style = "color: #008000;" > 'Hz'< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
plot< span style = "color: #707183;" > (< / span > freqs, abs< span style = "color: #7388D6;" > (< / span > squeeze< span style = "color: #909183;" > (< / span > freqresp< span style = "color: #709870;" > (< / span > Ttvc< span style = "color: #907373;" > (< / span > < span style = "color: #D0372D;" > 1< / span > , < span style = "color: #D0372D;" > 2< / span > < span style = "color: #907373;" > )< / span > , freqs, < span style = "color: #008000;" > 'Hz'< / span > < span style = "color: #709870;" > )< / span > < span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
hold off;
xlim< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > freqs< span style = "color: #909183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #909183;" > )< / span > , freqs< span style = "color: #909183;" > (< / span > end< span style = "color: #909183;" > )< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #707183;" > )< / span > ;
ylim< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > < span style = "color: #D0372D;" > 1e< / span > < span style = "color: #6434A3;" > -< / span > < span style = "color: #D0372D;" > 5< / span > , < span style = "color: #D0372D;" > 1< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #6434A3;" > set< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #BA36A5;" > gca< / span > , < span style = "color: #008000;" > 'XScale', 'log'< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #008000;" > ; set< / span > < span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > gca, 'YScale', 'log'< / span > < span style = "color: #707183;" > )< / span > ;
xlabel< span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > 'Frequency < / span > < span style = "color: #7388D6;" > [< / span > < span style = "color: #008000;" > Hz< / span > < span style = "color: #7388D6;" > ]< / span > < span style = "color: #008000;" > '< / span > < span style = "color: #707183;" > )< / span > ;
title< span style = "color: #707183;" > (< / span > '$G_< span style = "color: #7388D6;" > {< / span > r_u < span style = "color: #6434A3;" > \< / span > to d_v< span style = "color: #7388D6;" > }< / span > $'< span style = "color: #707183;" > )< / span >
linkaxes< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > ax1,ax2< span style = "color: #7388D6;" > ]< / span > ,< span style = "color: #008000;" > 'x'< / span > < span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< div id = "org1827a8f" class = "figure" >
< p > < img src = "Figures/perfconp.png" alt = "perfconp.png" / >
< / p >
< p > < span class = "figure-number" > Figure 16: < / span > Close loop performance for \(\omega = 0\) and \(\omega = 60 rpm\)< / p >
< / div >
< / div >
< / div >
< div id = "outline-container-orgc1bd4ee" class = "outline-4" >
< h4 id = "orgc1bd4ee" > < span class = "section-number-4" > 4.4.5< / span > Effect of rotation speed< / h4 >
< div class = "outline-text-4" id = "text-4-4-5" >
< p >
We first identify the system (voice coil and light mass) for multiple rotation speed.
Then we compute the bode plot of the diagonal element (figure < a href = "#org2747a3d" > 17< / a > ) and of the coupling element (figure < a href = "#orga315382" > 18< / a > ).
< / p >
< p >
As the rotation frequency increases:
< / p >
< ul class = "org-ul" >
< li > one pole goes to lower frequencies while the other goes to higher frequencies< / li >
< li > one zero appears between the two poles< / li >
< li > the zero disappears when \(\omega > \sqrt{\frac{k}{m}}\) and the low frequency pole becomes unstable (positive real part)< / li >
< / ul >
< p >
To stabilize the unstable pole, we need a control bandwidth of at least twice of frequency of the unstable pole.
< / p >
< div id = "org2747a3d" class = "figure" >
< p > < img src = "Figures/Guu_ws.png" alt = "Guu_ws.png" / >
< / p >
< p > < span class = "figure-number" > Figure 17: < / span > Diagonal term as a function of the rotation frequency< / p >
< / div >
< div id = "orga315382" class = "figure" >
< p > < img src = "Figures/Guv_ws.png" alt = "Guv_ws.png" / >
< / p >
< p > < span class = "figure-number" > Figure 18: < / span > Couplin term as a function of the rotation frequency< / p >
< / div >
< p >
Then, we can look at the same plots for the piezoelectric actuator (figure < a href = "#orgcb5a7f2" > 19< / a > ). The effect of the rotation frequency has very little effect on the dynamics of the system to control.
< / p >
< div id = "orgcb5a7f2" class = "figure" >
< p > < img src = "Figures/Guu_ws_pz.png" alt = "Guu_ws_pz.png" / >
< / p >
< p > < span class = "figure-number" > Figure 19: < / span > Diagonal term as a function of the rotation frequency< / p >
< / div >
< / div >
< / div >
< / div >
< div id = "outline-container-org84aa0a1" class = "outline-3" >
< h3 id = "org84aa0a1" > < span class = "section-number-3" > 4.5< / span > Plant Control - MIMO approach< / h3 >
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< div class = "outline-text-3" id = "text-4-5" >
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< / div >
< div id = "outline-container-org45eb6ad" class = "outline-4" >
< h4 id = "org45eb6ad" > < span class = "section-number-4" > 4.5.1< / span > < span class = "todo TODO" > TODO< / span > Analysis - SVD< / h4 >
< div class = "outline-text-4" id = "text-4-5-1" >
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< p >
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\[ G = U \Sigma V^H \]
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< / p >
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< p >
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With:
< / p >
< ul class = "org-ul" >
< li > \(\Sigma\) is an \(2 \times 2\) matrix with 2 non-negative < b > singular values< / b > \(\sigma_i\), arranged in descending order along its main diagonal< / li >
< li > \(U\) is an \(2 \times 2\) unitary matrix. The columns vectors of \(U\), denoted \(u_i\), represent the < b > output directions< / b > of the plant. They are orthonomal< / li >
< li > \(V\) is an \(2 \times 2\) unitary matrix. The columns vectors of \(V\), denoted \(v_i\), represent the < b > input directions< / b > of the plant. They are orthonomal< / li >
< / ul >
< p >
We first look at the evolution of the singular values as a function of frequency (figure < a href = "#orgd4f8f00" > 20< / a > ).
< / p >
< div id = "orgd4f8f00" class = "figure" >
< p > < img src = "Figures/G_sigma.png" alt = "G_sigma.png" / >
< / p >
< p > < span class = "figure-number" > Figure 20: < / span > Evolution of the singular values with frequency< / p >
< / div >
< p >
We compute
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #707183;" > [< / span > U,S,V< span style = "color: #707183;" > ]< / span > = svd< span style = "color: #707183;" > (< / span > freqresp< span style = "color: #7388D6;" > (< / span > Gtvc, < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > 10< / span > < span style = "color: #7388D6;" > )< / span > < span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< pre class = "example" >
U, S, V
U =
-0.707101109012986 - 0.00283224868340902i -0.707104254409621 - 0.00189034277692295i
0.00283224868340845 - 0.707101109012987i -0.00189034277692242 + 0.70710425440962i
S =
9.01532756059351e-06 0
0 6.01714794171208e-06
V =
0.707106781186547 + 0i 0.707106781186548 + 0i
-1.57009245868378e-16 + 0.707106781186548i 1.57009245868377e-16 - 0.707106781186547i
< / pre >
< p >
The input and output directions are related through the singular values
\[ G v_i = \sigma_i u_i \]
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< / p >
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< p >
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So, if we consider an input in the direction \(v_i\), then the output is in the direction \(u_i\). Furthermore, since \(\normtwo{v_i}=1\) and \(\normtwo{u_i}=1\), we see that < b > the singular value \(\sigma_i\) directly gives the gain of the matrix \(G\) in this direction< / b > .
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< / p >
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2019-01-29 09:32:29 +01:00
< div class = "org-src-container" >
< pre class = "src src-matlab" > freqresp< span style = "color: #707183;" > (< / span > Gtvc, < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > 10< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #6434A3;" > *< / span > V< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > :< / span > , < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span >
< / pre >
< / div >
< table border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
< colgroup >
< col class = "org-left" / >
< / colgroup >
< tbody >
< tr >
< td class = "org-left" > -6.3747e-06-2.5534e-08i< / td >
< / tr >
< tr >
< td class = "org-left" > 2.5534e-08-6.3747e-06i< / td >
< / tr >
< / tbody >
< / table >
< div class = "org-src-container" >
< pre class = "src src-matlab" > S< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > < span style = "color: #6434A3;" > *< / span > U< span style = "color: #707183;" > (< / span > < span style = "color: #6434A3;" > :< / span > , < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span >
< / pre >
< / div >
< table border = "2" cellspacing = "0" cellpadding = "6" rules = "groups" frame = "hsides" >
< colgroup >
< col class = "org-left" / >
< / colgroup >
< tbody >
< tr >
< td class = "org-left" > -6.3747e-06-2.5534e-08i< / td >
< / tr >
< tr >
< td class = "org-left" > 2.5534e-08-6.3747e-06i< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< div id = "outline-container-org1f29244" class = "outline-4" >
< h4 id = "org1f29244" > < span class = "section-number-4" > 4.5.2< / span > Closed loop SVD< / h4 >
< / div >
< / div >
< div id = "outline-container-org5f1a617" class = "outline-3" >
< h3 id = "org5f1a617" > < span class = "section-number-3" > 4.6< / span > test< / h3 >
< div class = "outline-text-3" id = "text-4-6" >
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< div class = "figure" >
< p > < img src = "Figures/coupling_simscape_light.png" alt = "coupling_simscape_light.png" / >
< / p >
< / div >
2019-01-21 23:33:23 +01:00
< p >
And then with the heavy sample.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > rot_speed = wheavy;
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
m = mheavy;
k = kpz;
c = < span style = "color: #D0372D;" > 1e3< / span > ;
Gpz_heavy = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
k = kvc;
c = < span style = "color: #D0372D;" > 1e3< / span > ;
Gvc_heavy = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
Gpz_heavy.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gpz_heavy.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
Gvc_heavy.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
Gvc_heavy.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
2019-01-21 23:44:33 +01:00
< div class = "figure" >
< p > < img src = "Figures/coupling_simscape_heavy.png" alt = "coupling_simscape_heavy.png" / >
< / p >
< / div >
2019-01-21 23:33:23 +01:00
< p >
Plot the ratio between the main transfer function and the coupling term:
< / p >
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< div class = "figure" >
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< p > < img src = "Figures/coupling_ratio_simscape_light.png" alt = "coupling_ratio_simscape_light.png" / >
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< / p >
< / div >
< div class = "figure" >
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< p > < img src = "Figures/coupling_ratio_simscape_heavy.png" alt = "coupling_ratio_simscape_heavy.png" / >
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< / p >
2019-01-21 23:33:23 +01:00
< / div >
< / div >
2019-01-21 23:44:33 +01:00
2019-01-29 09:32:29 +01:00
< div id = "outline-container-org91acab2" class = "outline-4" >
< h4 id = "org91acab2" > < span class = "section-number-4" > 4.6.1< / span > Low rotation speed and High rotation speed< / h4 >
< div class = "outline-text-4" id = "text-4-6-1" >
2019-01-21 23:33:23 +01:00
< div class = "org-src-container" >
< pre class = "src src-matlab" > rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #D0372D;" > 60< / span > ; angle_e = < span style = "color: #D0372D;" > 0< / span > ;
G_low = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ; angle_e = < span style = "color: #D0372D;" > 0< / span > ;
G_high = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > ;
G_low.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
G_low.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
G_high.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
G_high.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Du', 'Dv'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
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< / div >
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< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #6434A3;" > figure< / span > ;
bode< span style = "color: #707183;" > (< / span > G_low, G_high< span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< / div >
< / div >
< / div >
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< div id = "outline-container-org83a989c" class = "outline-3" >
< h3 id = "org83a989c" > < span class = "section-number-3" > 4.7< / span > Identification in the fixed frame< / h3 >
< div class = "outline-text-3" id = "text-4-7" >
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< p >
Let's define some options as well as the inputs and outputs for linearization.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Options for Linearized< / span >
options = linearizeOptions;
options.SampleTime = < span style = "color: #D0372D;" > 0< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Name of the Simulink File< / span >
mdl = < span style = "color: #008000;" > 'rotating_frame'< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output definition< / span >
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fx'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fy'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 3< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > dx'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 4< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > dy'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< p >
We then define the error estimation of the error and the rotational speed.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Run the linearization< / span >
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
rot_speed = < span style = "color: #D0372D;" > 0< / span > ;
< / pre >
< / div >
< p >
Finally, we run the linearization.
< / p >
< div class = "org-src-container" >
< pre class = "src src-matlab" > G = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output names< / span >
G.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fx', 'Fy'< / span > < span style = "color: #707183;" > }< / span > ;
G.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Run the linearization< / span >
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ;
Gr = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output names< / span >
Gr.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fx', 'Fy'< / span > < span style = "color: #707183;" > }< / span > ;
Gr.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Run the linearization< / span >
angle_e = < span style = "color: #D0372D;" > 1< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > < span style = "color: #6434A3;" > /< / span > < span style = "color: #D0372D;" > 180< / span > ;
rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ;
Ge = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > < span style = "color: #707183;" > )< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output names< / span >
Ge.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fx', 'Fy'< / span > < span style = "color: #707183;" > }< / span > ;
Ge.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #6434A3;" > figure< / span > ;
bode< span style = "color: #707183;" > (< / span > G< span style = "color: #707183;" > )< / span > ;
< span style = "color: #8D8D84; font-style: italic;" > % exportFig('G_x_y', 'wide-tall');< / span >
< span style = "color: #6434A3;" > figure< / span > ;
bode< span style = "color: #707183;" > (< / span > Ge< span style = "color: #707183;" > )< / span > ;
< span style = "color: #8D8D84; font-style: italic;" > % exportFig('G_x_y_e', 'normal-normal');< / span >
< / pre >
< / div >
< / div >
< / div >
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< div id = "outline-container-org72d7dab" class = "outline-3" >
< h3 id = "org72d7dab" > < span class = "section-number-3" > 4.8< / span > Identification from actuator forces to displacement in the fixed frame< / h3 >
< div class = "outline-text-3" id = "text-4-8" >
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< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Options for Linearized< / span >
options = linearizeOptions;
options.SampleTime = < span style = "color: #D0372D;" > 0< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Name of the Simulink File< / span >
mdl = < span style = "color: #008000;" > 'rotating_frame'< / span > ;
< span style = "color: #8D8D84; font-weight: bold; font-style: italic; text-decoration: overline;" > %% Input/Output definition< / span >
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 1< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fu'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 2< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > fv'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'input'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 3< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > dx'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
io< span style = "color: #707183;" > (< / span > < span style = "color: #D0372D;" > 4< / span > < span style = "color: #707183;" > )< / span > = linio< span style = "color: #707183;" > (< / span > < span style = "color: #7388D6;" > [< / span > mdl, '< span style = "color: #6434A3;" > /< / span > dy'< span style = "color: #7388D6;" > ]< / span > , < span style = "color: #D0372D;" > 1< / span > , 'output'< span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ;
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
G = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 0< / span > < span style = "color: #707183;" > )< / span > ;
G.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
G.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ;
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
G1 = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 4< / span > < span style = "color: #707183;" > )< / span > ;
G1.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
G1.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > rot_speed = < span style = "color: #D0372D;" > 2< / span > < span style = "color: #6434A3;" > *< / span > < span style = "color: #D0372D;" > pi< / span > ;
angle_e = < span style = "color: #D0372D;" > 0< / span > ;
G2 = linearize< span style = "color: #707183;" > (< / span > mdl, io, < span style = "color: #D0372D;" > 0< / span > .< span style = "color: #D0372D;" > 8< / span > < span style = "color: #707183;" > )< / span > ;
G2.InputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Fu', 'Fv'< / span > < span style = "color: #707183;" > }< / span > ;
G2.OutputName = < span style = "color: #707183;" > {< / span > < span style = "color: #008000;" > 'Dx', 'Dy'< / span > < span style = "color: #707183;" > }< / span > ;
< / pre >
< / div >
< div class = "org-src-container" >
< pre class = "src src-matlab" > < span style = "color: #6434A3;" > figure< / span > ;
bode< span style = "color: #707183;" > (< / span > G, G1, G2< span style = "color: #707183;" > )< / span > ;
exportFig< span style = "color: #707183;" > (< / span > < span style = "color: #008000;" > 'G_u_v_to_x_y', 'wide-tall'< / span > < span style = "color: #707183;" > )< / span > ;
< / pre >
< / div >
< / div >
< / div >
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< div id = "outline-container-org23b0cab" class = "outline-3" >
< h3 id = "org23b0cab" > < span class = "section-number-3" > 4.9< / span > Effect of the rotating Speed< / h3 >
< div class = "outline-text-3" id = "text-4-9" >
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< p >
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< a id = "org883d90f" > < / a >
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< / p >
< / div >
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< div id = "outline-container-orgfdbb058" class = "outline-4" >
< h4 id = "orgfdbb058" > < span class = "section-number-4" > 4.9.1< / span > < span class = "todo TODO" > TODO< / span > Use realistic parameters for the mass of the sample and stiffness of the X-Y stage< / h4 >
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< / div >
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< div id = "outline-container-org561ff01" class = "outline-4" >
< h4 id = "org561ff01" > < span class = "section-number-4" > 4.9.2< / span > < span class = "todo TODO" > TODO< / span > Check if the plant is changing a lot when we are not turning to when we are turning at the maximum speed (60rpm)< / h4 >
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< / div >
< / div >
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< div id = "outline-container-org8371883" class = "outline-3" >
< h3 id = "org8371883" > < span class = "section-number-3" > 4.10< / span > Effect of the X-Y stage stiffness< / h3 >
< div class = "outline-text-3" id = "text-4-10" >
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< p >
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< a id = "orgfe6f395" > < / a >
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< / p >
< / div >
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< div id = "outline-container-org478a6d7" class = "outline-4" >
< h4 id = "org478a6d7" > < span class = "section-number-4" > 4.10.1< / span > < span class = "todo TODO" > TODO< / span > At full speed, check how the coupling changes with the stiffness of the actuators< / h4 >
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< / div >
< / div >
< / div >
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< div id = "outline-container-orgb971120" class = "outline-2" >
< h2 id = "orgb971120" > < span class = "section-number-2" > 5< / span > Control Implementation< / h2 >
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< div class = "outline-text-2" id = "text-5" >
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< p >
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< a id = "orgdb02db4" > < / a >
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< / p >
< / div >
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< div id = "outline-container-orgf8d299a" class = "outline-3" >
< h3 id = "orgf8d299a" > < span class = "section-number-3" > 5.1< / span > Measurement in the fixed reference frame< / h3 >
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< / div >
< / div >
< / div >
< div id = "postamble" class = "status" >
< p class = "author" > Author: Thomas Dehaeze< / p >
2019-01-29 09:32:29 +01:00
< p class = "date" > Created: 2019-01-29 mar. 09:31< / p >
2019-01-18 17:18:02 +01:00
< p class = "validation" > < a href = "http://validator.w3.org/check?uri=referer" > Validate< / a > < / p >
< / div >
< / body >
< / html >
