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<a accesskey="h" href="./index.html"> UP </a>
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<a accesskey="H" href="./index.html"> HOME </a>
</div><div id="content">
<h1 class="title">Stewart Platform - Decentralized Active Damping</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgd59c804">Inertial Control</a>
<ul>
<li><a href="#org5f749c8">Identification of the Dynamics</a></li>
<li><a href="#org543be7a">Effect of the Flexible Joint stiffness on the Dynamics</a></li>
<li><a href="#org9a605b4">Obtained Damping</a></li>
<li><a href="#org42a74ed">Conclusion</a></li>
</ul>
</li>
<li><a href="#org74c7eb4">Integral Force Feedback</a>
<ul>
<li><a href="#orgc96f772">Identification of the Dynamics with perfect Joints</a></li>
<li><a href="#orgd119d8a">Effect of the Flexible Joint stiffness on the Dynamics</a></li>
<li><a href="#org2b5e45a">Obtained Damping</a></li>
<li><a href="#org39ddf1e">Conclusion</a></li>
</ul>
</li>
<li><a href="#org08917d6">Direct Velocity Feedback</a>
<ul>
<li><a href="#org243b924">Identification of the Dynamics with perfect Joints</a></li>
<li><a href="#orgcdb3ee5">Effect of the Flexible Joint stiffness on the Dynamics</a></li>
<li><a href="#orgff0cbf9">Obtained Damping</a></li>
<li><a href="#org4027234">Conclusion</a></li>
</ul>
</li>
</ul>
</div>
</div>
<p>
The following decentralized active damping techniques are briefly studied:
</p>
<ul class="org-ul">
<li>Inertial Control (proportional feedback of the absolute velocity): Section <a href="#orgeb37c7d">No description for this link</a></li>
<li>Integral Force Feedback: Section <a href="#orgab5e6b5">No description for this link</a></li>
<li>Direct feedback of the relative velocity of each strut: Section <a href="#org0aa816a">No description for this link</a></li>
</ul>
<div id="outline-container-orgd59c804" class="outline-2">
<h2 id="orgd59c804">Inertial Control</h2>
<div class="outline-text-2" id="text-orgd59c804">
<p>
<a id="orgeb37c7d"></a>
</p>
</div>
<div id="outline-container-org5f749c8" class="outline-3">
<h3 id="org5f749c8">Identification of the Dynamics</h3>
<div class="outline-text-3" id="text-org5f749c8">
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart, <span class="org-string">'H'</span>, 90e<span class="org-type">-</span>3, <span class="org-string">'MO_B'</span>, 45e<span class="org-type">-</span>3);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeJointDynamics(stewart, <span class="org-string">'disable'</span>, <span class="org-constant">true</span>);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_active_damping'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Actuator Force Inputs [N]</span>
io(io_i) = linio([mdl, <span class="org-string">'/Vm'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Absolute velocity of each leg [m/s]</span>
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'Vm1'</span>, <span class="org-string">'Vm2'</span>, <span class="org-string">'Vm3'</span>, <span class="org-string">'Vm4'</span>, <span class="org-string">'Vm5'</span>, <span class="org-string">'Vm6'</span>};
</pre>
</div>
<p>
The transfer function from actuator forces to force sensors is shown in Figure <a href="#org834d990">1</a>.
</p>
<div id="org834d990" class="figure">
<p><img src="figs/inertial_plant_coupling.png" alt="inertial_plant_coupling.png" />
</p>
<p><span class="figure-number">Figure 1: </span>Transfer function from the Actuator force \(F_{i}\) to the absolute velocity of the same leg \(v_{m,i}\) and to the absolute velocity of the other legs \(v_{m,j}\) with \(i \neq j\) in grey (<a href="./figs/inertial_plant_coupling.png">png</a>, <a href="./figs/inertial_plant_coupling.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org543be7a" class="outline-3">
<h3 id="org543be7a">Effect of the Flexible Joint stiffness on the Dynamics</h3>
<div class="outline-text-3" id="text-org543be7a">
<p>
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeJointDynamics(stewart);
Gf = linearize(mdl, io, options);
Gf.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
Gf.OutputName = {<span class="org-string">'Vm1'</span>, <span class="org-string">'Vm2'</span>, <span class="org-string">'Vm3'</span>, <span class="org-string">'Vm4'</span>, <span class="org-string">'Vm5'</span>, <span class="org-string">'Vm6'</span>};
</pre>
</div>
<p>
The new dynamics from force actuator to force sensor is shown in Figure <a href="#org683c779">2</a>.
</p>
<div id="org683c779" class="figure">
<p><img src="figs/inertial_plant_flexible_joint_decentralized.png" alt="inertial_plant_flexible_joint_decentralized.png" />
</p>
<p><span class="figure-number">Figure 2: </span>Transfer function from the Actuator force \(F_{i}\) to the absolute velocity sensor \(v_{m,i}\) (<a href="./figs/inertial_plant_flexible_joint_decentralized.png">png</a>, <a href="./figs/inertial_plant_flexible_joint_decentralized.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org9a605b4" class="outline-3">
<h3 id="org9a605b4">Obtained Damping</h3>
<div class="outline-text-3" id="text-org9a605b4">
<p>
The control is a performed in a decentralized manner.
The \(6 \times 6\) control is a diagonal matrix with pure proportional action on the diagonal:
\[ K(s) = g
\begin{bmatrix}
1 & & 0 \\
& \ddots & \\
0 & & 1
\end{bmatrix} \]
</p>
<p>
The root locus is shown in figure <a href="#org9af9e33">3</a> and the obtained pole damping function of the control gain is shown in figure <a href="#org4e6b73b">4</a>.
</p>
<div id="org9af9e33" class="figure">
<p><img src="figs/root_locus_inertial_rot_stiffness.png" alt="root_locus_inertial_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 3: </span>Root Locus plot with Decentralized Inertial Control when considering the stiffness of flexible joints (<a href="./figs/root_locus_inertial_rot_stiffness.png">png</a>, <a href="./figs/root_locus_inertial_rot_stiffness.pdf">pdf</a>)</p>
</div>
<div id="org4e6b73b" class="figure">
<p><img src="figs/pole_damping_gain_inertial_rot_stiffness.png" alt="pole_damping_gain_inertial_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 4: </span>Damping of the poles with respect to the gain of the Decentralized Inertial Control when considering the stiffness of flexible joints (<a href="./figs/pole_damping_gain_inertial_rot_stiffness.png">png</a>, <a href="./figs/pole_damping_gain_inertial_rot_stiffness.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org42a74ed" class="outline-3">
<h3 id="org42a74ed">Conclusion</h3>
<div class="outline-text-3" id="text-org42a74ed">
<div class="important">
<p>
Joint stiffness does increase the resonance frequencies of the system but does not change the attainable damping when using relative motion sensors.
</p>
</div>
</div>
</div>
</div>
<div id="outline-container-org74c7eb4" class="outline-2">
<h2 id="org74c7eb4">Integral Force Feedback</h2>
<div class="outline-text-2" id="text-org74c7eb4">
<p>
<a id="orgab5e6b5"></a>
</p>
</div>
<div id="outline-container-orgc96f772" class="outline-3">
<h3 id="orgc96f772">Identification of the Dynamics with perfect Joints</h3>
<div class="outline-text-3" id="text-orgc96f772">
<p>
We first initialize the Stewart platform without joint stiffness.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart, <span class="org-string">'H'</span>, 90e<span class="org-type">-</span>3, <span class="org-string">'MO_B'</span>, 45e<span class="org-type">-</span>3);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeAmplifiedStrutDynamics(stewart);
stewart = initializeJointDynamics(stewart, <span class="org-string">'disable'</span>, <span class="org-constant">true</span>);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
And we identify the dynamics from force actuators to force sensors.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_active_damping'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Actuator Force Inputs [N]</span>
io(io_i) = linio([mdl, <span class="org-string">'/Fm'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Force Sensor Outputs [N]</span>
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'Fm1'</span>, <span class="org-string">'Fm2'</span>, <span class="org-string">'Fm3'</span>, <span class="org-string">'Fm4'</span>, <span class="org-string">'Fm5'</span>, <span class="org-string">'Fm6'</span>};
</pre>
</div>
<p>
The transfer function from actuator forces to force sensors is shown in Figure <a href="#org3fca9dd">5</a>.
</p>
<div id="org3fca9dd" class="figure">
<p><img src="figs/iff_plant_coupling.png" alt="iff_plant_coupling.png" />
</p>
<p><span class="figure-number">Figure 5: </span>Transfer function from the Actuator force \(F_{i}\) to the Force sensor of the same leg \(F_{m,i}\) and to the force sensor of the other legs \(F_{m,j}\) with \(i \neq j\) in grey (<a href="./figs/iff_plant_coupling.png">png</a>, <a href="./figs/iff_plant_coupling.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-orgd119d8a" class="outline-3">
<h3 id="orgd119d8a">Effect of the Flexible Joint stiffness on the Dynamics</h3>
<div class="outline-text-3" id="text-orgd119d8a">
<p>
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeJointDynamics(stewart);
Gf = linearize(mdl, io, options);
Gf.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
Gf.OutputName = {<span class="org-string">'Fm1'</span>, <span class="org-string">'Fm2'</span>, <span class="org-string">'Fm3'</span>, <span class="org-string">'Fm4'</span>, <span class="org-string">'Fm5'</span>, <span class="org-string">'Fm6'</span>};
</pre>
</div>
<p>
The new dynamics from force actuator to force sensor is shown in Figure <a href="#org090868b">6</a>.
</p>
<div id="org090868b" class="figure">
<p><img src="figs/iff_plant_flexible_joint_decentralized.png" alt="iff_plant_flexible_joint_decentralized.png" />
</p>
<p><span class="figure-number">Figure 6: </span>Transfer function from the Actuator force \(F_{i}\) to the force sensor \(F_{m,i}\) (<a href="./figs/iff_plant_flexible_joint_decentralized.png">png</a>, <a href="./figs/iff_plant_flexible_joint_decentralized.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org2b5e45a" class="outline-3">
<h3 id="org2b5e45a">Obtained Damping</h3>
<div class="outline-text-3" id="text-org2b5e45a">
<p>
The control is a performed in a decentralized manner.
The \(6 \times 6\) control is a diagonal matrix with pure integration action on the diagonal:
\[ K(s) = g
\begin{bmatrix}
\frac{1}{s} & & 0 \\
& \ddots & \\
0 & & \frac{1}{s}
\end{bmatrix} \]
</p>
<p>
The root locus is shown in figure <a href="#orge21bbea">7</a> and the obtained pole damping function of the control gain is shown in figure <a href="#org94d6943">8</a>.
</p>
<div id="orge21bbea" class="figure">
<p><img src="figs/root_locus_iff_rot_stiffness.png" alt="root_locus_iff_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 7: </span>Root Locus plot with Decentralized Integral Force Feedback when considering the stiffness of flexible joints (<a href="./figs/root_locus_iff_rot_stiffness.png">png</a>, <a href="./figs/root_locus_iff_rot_stiffness.pdf">pdf</a>)</p>
</div>
<div id="org94d6943" class="figure">
<p><img src="figs/pole_damping_gain_iff_rot_stiffness.png" alt="pole_damping_gain_iff_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 8: </span>Damping of the poles with respect to the gain of the Decentralized Integral Force Feedback when considering the stiffness of flexible joints (<a href="./figs/pole_damping_gain_iff_rot_stiffness.png">png</a>, <a href="./figs/pole_damping_gain_iff_rot_stiffness.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org39ddf1e" class="outline-3">
<h3 id="org39ddf1e">Conclusion</h3>
<div class="outline-text-3" id="text-org39ddf1e">
<div class="important">
<p>
The joint stiffness has a huge impact on the attainable active damping performance when using force sensors.
Thus, if Integral Force Feedback is to be used in a Stewart platform with flexible joints, the rotational stiffness of the joints should be minimized.
</p>
</div>
</div>
</div>
</div>
<div id="outline-container-org08917d6" class="outline-2">
<h2 id="org08917d6">Direct Velocity Feedback</h2>
<div class="outline-text-2" id="text-org08917d6">
<p>
<a id="org0aa816a"></a>
</p>
</div>
<div id="outline-container-org243b924" class="outline-3">
<h3 id="org243b924">Identification of the Dynamics with perfect Joints</h3>
<div class="outline-text-3" id="text-org243b924">
<p>
We first initialize the Stewart platform without joint stiffness.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart, <span class="org-string">'H'</span>, 90e<span class="org-type">-</span>3, <span class="org-string">'MO_B'</span>, 45e<span class="org-type">-</span>3);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeJointDynamics(stewart, <span class="org-string">'disable'</span>, <span class="org-constant">true</span>);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
And we identify the dynamics from force actuators to force sensors.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_active_damping'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Actuator Force Inputs [N]</span>
io(io_i) = linio([mdl, <span class="org-string">'/Dm'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1; <span class="org-comment">% Relative Displacement Outputs [N]</span>
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'Dm1'</span>, <span class="org-string">'Dm2'</span>, <span class="org-string">'Dm3'</span>, <span class="org-string">'Dm4'</span>, <span class="org-string">'Dm5'</span>, <span class="org-string">'Dm6'</span>};
</pre>
</div>
<p>
The transfer function from actuator forces to relative motion sensors is shown in Figure <a href="#orgcc86228">9</a>.
</p>
<div id="orgcc86228" class="figure">
<p><img src="figs/dvf_plant_coupling.png" alt="dvf_plant_coupling.png" />
</p>
<p><span class="figure-number">Figure 9: </span>Transfer function from the Actuator force \(F_{i}\) to the Relative Motion Sensor \(D_{m,j}\) with \(i \neq j\) (<a href="./figs/dvf_plant_coupling.png">png</a>, <a href="./figs/dvf_plant_coupling.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-orgcdb3ee5" class="outline-3">
<h3 id="orgcdb3ee5">Effect of the Flexible Joint stiffness on the Dynamics</h3>
<div class="outline-text-3" id="text-orgcdb3ee5">
<p>
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeJointDynamics(stewart);
Gf = linearize(mdl, io, options);
Gf.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
Gf.OutputName = {<span class="org-string">'Dm1'</span>, <span class="org-string">'Dm2'</span>, <span class="org-string">'Dm3'</span>, <span class="org-string">'Dm4'</span>, <span class="org-string">'Dm5'</span>, <span class="org-string">'Dm6'</span>};
</pre>
</div>
<p>
The new dynamics from force actuator to relative motion sensor is shown in Figure <a href="#org5a86447">10</a>.
</p>
<div id="org5a86447" class="figure">
<p><img src="figs/dvf_plant_flexible_joint_decentralized.png" alt="dvf_plant_flexible_joint_decentralized.png" />
</p>
<p><span class="figure-number">Figure 10: </span>Transfer function from the Actuator force \(F_{i}\) to the relative displacement sensor \(D_{m,i}\) (<a href="./figs/dvf_plant_flexible_joint_decentralized.png">png</a>, <a href="./figs/dvf_plant_flexible_joint_decentralized.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-orgff0cbf9" class="outline-3">
<h3 id="orgff0cbf9">Obtained Damping</h3>
<div class="outline-text-3" id="text-orgff0cbf9">
<p>
The control is a performed in a decentralized manner.
The \(6 \times 6\) control is a diagonal matrix with pure derivative action on the diagonal:
\[ K(s) = g
\begin{bmatrix}
s & & \\
& \ddots & \\
& & s
\end{bmatrix} \]
</p>
<p>
The root locus is shown in figure <a href="#org277d60d">11</a> and the obtained pole damping function of the control gain is shown in figure <a href="#orgd673396">12</a>.
</p>
<div id="org277d60d" class="figure">
<p><img src="figs/root_locus_dvf_rot_stiffness.png" alt="root_locus_dvf_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 11: </span>Root Locus plot with Direct Velocity Feedback when considering the Stiffness of flexible joints (<a href="./figs/root_locus_dvf_rot_stiffness.png">png</a>, <a href="./figs/root_locus_dvf_rot_stiffness.pdf">pdf</a>)</p>
</div>
<div id="orgd673396" class="figure">
<p><img src="figs/pole_damping_gain_dvf_rot_stiffness.png" alt="pole_damping_gain_dvf_rot_stiffness.png" />
</p>
<p><span class="figure-number">Figure 12: </span>Damping of the poles with respect to the gain of the Direct Velocity Feedback when considering the Stiffness of flexible joints (<a href="./figs/pole_damping_gain_dvf_rot_stiffness.png">png</a>, <a href="./figs/pole_damping_gain_dvf_rot_stiffness.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org4027234" class="outline-3">
<h3 id="org4027234">Conclusion</h3>
<div class="outline-text-3" id="text-org4027234">
<div class="important">
<p>
Joint stiffness does increase the resonance frequencies of the system but does not change the attainable damping when using relative motion sensors.
</p>
</div>
</div>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:26</p>
</div>
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<h1 class="title">Stewart Platform - Control Study</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgc1805a8">First Control Architecture</a>
<ul>
<li><a href="#org066d914">Control Schematic</a></li>
<li><a href="#org64f6d6b">Initialize the Stewart platform</a></li>
<li><a href="#org4493ec7">Identification of the plant</a></li>
<li><a href="#org72dad5c">Plant Analysis</a></li>
<li><a href="#orga9fb0f5">Controller Design</a></li>
</ul>
</li>
</ul>
</div>
</div>
<div id="outline-container-orgc1805a8" class="outline-2">
<h2 id="orgc1805a8">First Control Architecture</h2>
<div class="outline-text-2" id="text-orgc1805a8">
</div>
<div id="outline-container-org066d914" class="outline-3">
<h3 id="org066d914">Control Schematic</h3>
<div class="outline-text-3" id="text-org066d914">
<div class="org-src-container">
<pre class="src src-latex"><span class="org-font-latex-sedate"><span class="org-keyword">\begin</span></span>{<span class="org-function-name">tikzpicture</span>}
<span class="org-comment">% Blocs</span>
<span class="org-font-latex-sedate">\node</span>[block] (J) at (0, 0) {<span class="org-font-latex-math">$J$</span>};
<span class="org-font-latex-sedate">\node</span>[addb={+}{}{}{}{-}, right=1 of J] (subr) {};
<span class="org-font-latex-sedate">\node</span>[block, right=0.8 of subr] (K) {<span class="org-font-latex-math">$K</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">{L}$</span>};
<span class="org-font-latex-sedate">\node</span>[block, right=1 of K] (G) {<span class="org-font-latex-math">$G</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">{L}$</span>};
<span class="org-comment">% Connections and labels</span>
<span class="org-font-latex-sedate">\draw</span>[&lt;-] (J.west)node[above left]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\bm</span></span><span class="org-font-latex-math">{r}</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">{n}$</span>} -- ++(-1, 0);
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (J.east) -- (subr.west) node[above left]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\bm</span></span><span class="org-font-latex-math">{r}</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">{L}$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (subr.east) -- (K.west) node[above left]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\bm</span></span><span class="org-font-latex-math">{</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\epsilon</span></span><span class="org-font-latex-math">}</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">{L}$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (K.east) -- (G.west) node[above left]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\bm</span></span><span class="org-font-latex-math">{</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\tau</span></span><span class="org-font-latex-math">}$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (G.east) node[above right]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\bm</span></span><span class="org-font-latex-math">{L}$</span>} -| (<span class="org-font-latex-math">$(G.east)+(1, -1)$</span>) -| (subr.south);
<span class="org-font-latex-sedate"><span class="org-keyword">\end</span></span>{<span class="org-function-name">tikzpicture</span>}
</pre>
</div>
<div class="figure">
<p><img src="figs/control_measure_rotating_2dof.png" alt="control_measure_rotating_2dof.png" />
</p>
</div>
</div>
</div>
<div id="outline-container-org64f6d6b" class="outline-3">
<h3 id="org64f6d6b">Initialize the Stewart platform</h3>
<div class="outline-text-3" id="text-org64f6d6b">
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
</div>
</div>
<div id="outline-container-org4493ec7" class="outline-3">
<h3 id="org4493ec7">Identification of the plant</h3>
<div class="outline-text-3" id="text-org4493ec7">
<p>
Let&rsquo;s identify the transfer function from \(\bm{\tau}}\) to \(\bm{L}\).
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_control'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/tau'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/L'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'L1'</span>, <span class="org-string">'L2'</span>, <span class="org-string">'L3'</span>, <span class="org-string">'L4'</span>, <span class="org-string">'L5'</span>, <span class="org-string">'L6'</span>};
</pre>
</div>
</div>
</div>
<div id="outline-container-org72dad5c" class="outline-3">
<h3 id="org72dad5c">Plant Analysis</h3>
<div class="outline-text-3" id="text-org72dad5c">
<p>
Diagonal terms
Compare to off-diagonal terms
</p>
</div>
</div>
<div id="outline-container-orga9fb0f5" class="outline-3">
<h3 id="orga9fb0f5">Controller Design</h3>
<div class="outline-text-3" id="text-orga9fb0f5">
<p>
One integrator should be present in the controller.
</p>
<p>
A lead is added around the crossover frequency which is set to be around 500Hz.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-comment">% wint = 2*pi*100; % Integrate until [rad]</span>
<span class="org-comment">% wlead = 2*pi*500; % Location of the lead [rad]</span>
<span class="org-comment">% hlead = 2; % Lead strengh</span>
<span class="org-comment">% Kl = 1e6 * ... % Gain</span>
<span class="org-comment">% (s + wint)/(s) * ... % Integrator until 100Hz</span>
<span class="org-comment">% (1 + s/(wlead/hlead)/(1 + s/(wlead*hlead))); % Lead</span>
wc = 2<span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>100;
Kl = 1<span class="org-type">/</span>abs(freqresp(G(1,1), wc)) <span class="org-type">*</span> wc<span class="org-type">/</span>s <span class="org-type">*</span> 1<span class="org-type">/</span>(1 <span class="org-type">+</span> s<span class="org-type">/</span>(3<span class="org-type">*</span>wc));
Kl = Kl <span class="org-type">*</span> eye(6);
</pre>
</div>
</div>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:23</p>
</div>
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</div><div id="content">
<h1 class="title">Stewart Platform - Dynamics Study</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgdae5fe1">Some tests</a>
<ul>
<li><a href="#orga032902">Simscape Model</a></li>
<li><a href="#orgdbd3cde">test</a></li>
<li><a href="#orgc59e712">Compare external forces and forces applied by the actuators</a></li>
<li><a href="#org81ab204">Comparison of the static transfer function and the Compliance matrix</a></li>
<li><a href="#orge663148">Transfer function from forces applied in the legs to the displacement of the legs</a></li>
</ul>
</li>
</ul>
</div>
</div>
<div id="outline-container-orgdae5fe1" class="outline-2">
<h2 id="orgdae5fe1">Some tests</h2>
<div class="outline-text-2" id="text-orgdae5fe1">
</div>
<div id="outline-container-orga032902" class="outline-3">
<h3 id="orga032902">Simscape Model</h3>
<div class="outline-text-3" id="text-orga032902">
<div class="org-src-container">
<pre class="src src-matlab">open(<span class="org-string">'stewart_platform_dynamics.slx'</span>)
</pre>
</div>
</div>
</div>
<div id="outline-container-orgdbd3cde" class="outline-3">
<h3 id="orgdbd3cde">test</h3>
<div class="outline-text-3" id="text-orgdbd3cde">
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
Estimation of the transfer function from \(\mathcal{\bm{F}}\) to \(\mathcal{\bm{X}}\):
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'Fx'</span>, <span class="org-string">'Fy'</span>, <span class="org-string">'Fz'</span>, <span class="org-string">'Mx'</span>, <span class="org-string">'My'</span>, <span class="org-string">'Mz'</span>};
G.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/J-T'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">G_cart = minreal(G<span class="org-type">*</span>inv(stewart.J<span class="org-type">'</span>));
G_cart.InputName = {<span class="org-string">'Fnx'</span>, <span class="org-string">'Fny'</span>, <span class="org-string">'Fnz'</span>, <span class="org-string">'Mnx'</span>, <span class="org-string">'Mny'</span>, <span class="org-string">'Mnz'</span>};
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-type">figure</span>; bode(G, G_cart)
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/Fext'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
Gd = linearize(mdl, io, options);
Gd.InputName = {<span class="org-string">'Fex'</span>, <span class="org-string">'Fey'</span>, <span class="org-string">'Fez'</span>, <span class="org-string">'Mex'</span>, <span class="org-string">'Mey'</span>, <span class="org-string">'Mez'</span>};
Gd.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">freqs = logspace(0, 3, 1000);
<span class="org-type">figure</span>;
bode(Gd, G)
</pre>
</div>
</div>
</div>
<div id="outline-container-orgc59e712" class="outline-3">
<h3 id="orgc59e712">Compare external forces and forces applied by the actuators</h3>
<div class="outline-text-3" id="text-orgc59e712">
<p>
Initialization of the Stewart platform.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
Estimation of the transfer function from \(\mathcal{\bm{F}}\) to \(\mathcal{\bm{X}}\):
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'Fx'</span>, <span class="org-string">'Fy'</span>, <span class="org-string">'Fz'</span>, <span class="org-string">'Mx'</span>, <span class="org-string">'My'</span>, <span class="org-string">'Mz'</span>};
G.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<p>
Estimation of the transfer function from \(\mathcal{\bm{F}}_{d}\) to \(\mathcal{\bm{X}}\):
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/Fext'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
Gd = linearize(mdl, io, options);
Gd.InputName = {<span class="org-string">'Fex'</span>, <span class="org-string">'Fey'</span>, <span class="org-string">'Fez'</span>, <span class="org-string">'Mex'</span>, <span class="org-string">'Mey'</span>, <span class="org-string">'Mez'</span>};
Gd.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<p>
Comparison of the two transfer function matrices.
</p>
<div class="org-src-container">
<pre class="src src-matlab">freqs = logspace(0, 4, 1000);
<span class="org-type">figure</span>;
bode(Gd, G, freqs)
</pre>
</div>
<div class="important">
<p>
Seems quite similar.
</p>
</div>
</div>
</div>
<div id="outline-container-org81ab204" class="outline-3">
<h3 id="org81ab204">Comparison of the static transfer function and the Compliance matrix</h3>
<div class="outline-text-3" id="text-org81ab204">
<p>
Initialization of the Stewart platform.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
Estimation of the transfer function from \(\mathcal{\bm{F}}\) to \(\mathcal{\bm{X}}\):
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/F'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/X'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'Fx'</span>, <span class="org-string">'Fy'</span>, <span class="org-string">'Fz'</span>, <span class="org-string">'Mx'</span>, <span class="org-string">'My'</span>, <span class="org-string">'Mz'</span>};
G.OutputName = {<span class="org-string">'Edx'</span>, <span class="org-string">'Edy'</span>, <span class="org-string">'Edz'</span>, <span class="org-string">'Erx'</span>, <span class="org-string">'Ery'</span>, <span class="org-string">'Erz'</span>};
</pre>
</div>
<p>
Let&rsquo;s first look at the low frequency transfer function matrix from \(\mathcal{\bm{F}}\) to \(\mathcal{\bm{X}}\).
</p>
<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
<colgroup>
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
</colgroup>
<tbody>
<tr>
<td class="org-right">2.0e-06</td>
<td class="org-right">-9.1e-19</td>
<td class="org-right">-5.3e-12</td>
<td class="org-right">7.3e-18</td>
<td class="org-right">1.7e-05</td>
<td class="org-right">1.3e-18</td>
</tr>
<tr>
<td class="org-right">-1.7e-18</td>
<td class="org-right">2.0e-06</td>
<td class="org-right">8.6e-19</td>
<td class="org-right">-1.7e-05</td>
<td class="org-right">-1.5e-17</td>
<td class="org-right">6.7e-12</td>
</tr>
<tr>
<td class="org-right">3.6e-13</td>
<td class="org-right">3.2e-19</td>
<td class="org-right">5.0e-07</td>
<td class="org-right">-2.5e-18</td>
<td class="org-right">8.1e-12</td>
<td class="org-right">-1.5e-19</td>
</tr>
<tr>
<td class="org-right">1.0e-17</td>
<td class="org-right">-1.7e-05</td>
<td class="org-right">-5.0e-18</td>
<td class="org-right">1.9e-04</td>
<td class="org-right">9.1e-17</td>
<td class="org-right">-3.5e-11</td>
</tr>
<tr>
<td class="org-right">1.7e-05</td>
<td class="org-right">-6.9e-19</td>
<td class="org-right">-5.3e-11</td>
<td class="org-right">6.9e-18</td>
<td class="org-right">1.9e-04</td>
<td class="org-right">4.8e-18</td>
</tr>
<tr>
<td class="org-right">-3.5e-18</td>
<td class="org-right">-4.5e-12</td>
<td class="org-right">1.5e-18</td>
<td class="org-right">7.1e-11</td>
<td class="org-right">-3.4e-17</td>
<td class="org-right">4.6e-05</td>
</tr>
</tbody>
</table>
<p>
And now at the Compliance matrix.
</p>
<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
<colgroup>
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
<col class="org-right" />
</colgroup>
<tbody>
<tr>
<td class="org-right">2.0e-06</td>
<td class="org-right">2.9e-22</td>
<td class="org-right">2.8e-22</td>
<td class="org-right">-3.2e-21</td>
<td class="org-right">1.7e-05</td>
<td class="org-right">1.5e-37</td>
</tr>
<tr>
<td class="org-right">-2.1e-22</td>
<td class="org-right">2.0e-06</td>
<td class="org-right">-1.8e-23</td>
<td class="org-right">-1.7e-05</td>
<td class="org-right">-2.3e-21</td>
<td class="org-right">1.1e-22</td>
</tr>
<tr>
<td class="org-right">3.1e-22</td>
<td class="org-right">-1.6e-23</td>
<td class="org-right">5.0e-07</td>
<td class="org-right">1.7e-22</td>
<td class="org-right">2.2e-21</td>
<td class="org-right">-8.1e-39</td>
</tr>
<tr>
<td class="org-right">2.1e-21</td>
<td class="org-right">-1.7e-05</td>
<td class="org-right">2.0e-22</td>
<td class="org-right">1.9e-04</td>
<td class="org-right">2.3e-20</td>
<td class="org-right">-8.7e-21</td>
</tr>
<tr>
<td class="org-right">1.7e-05</td>
<td class="org-right">2.5e-21</td>
<td class="org-right">2.0e-21</td>
<td class="org-right">-2.8e-20</td>
<td class="org-right">1.9e-04</td>
<td class="org-right">1.3e-36</td>
</tr>
<tr>
<td class="org-right">3.7e-23</td>
<td class="org-right">3.1e-22</td>
<td class="org-right">-6.0e-39</td>
<td class="org-right">-1.0e-20</td>
<td class="org-right">3.1e-22</td>
<td class="org-right">4.6e-05</td>
</tr>
</tbody>
</table>
<div class="important">
<p>
The low frequency transfer function matrix from \(\mathcal{\bm{F}}\) to \(\mathcal{\bm{X}}\) corresponds to the compliance matrix of the Stewart platform.
</p>
</div>
</div>
</div>
<div id="outline-container-orge663148" class="outline-3">
<h3 id="orge663148">Transfer function from forces applied in the legs to the displacement of the legs</h3>
<div class="outline-text-3" id="text-orge663148">
<p>
Initialization of the Stewart platform.
</p>
<div class="org-src-container">
<pre class="src src-matlab">stewart = initializeStewartPlatform();
stewart = initializeFramesPositions(stewart);
stewart = generateGeneralConfiguration(stewart);
stewart = computeJointsPose(stewart);
stewart = initializeStrutDynamics(stewart);
stewart = initializeCylindricalPlatforms(stewart);
stewart = initializeCylindricalStruts(stewart);
stewart = computeJacobian(stewart);
stewart = initializeStewartPose(stewart);
</pre>
</div>
<p>
Estimation of the transfer function from \(\bm{\tau}\) to \(\bm{L}\):
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-cellbreak"><span class="org-comment">%% Options for Linearized</span></span>
options = linearizeOptions;
options.SampleTime = 0;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Name of the Simulink File</span></span>
mdl = <span class="org-string">'stewart_platform_dynamics'</span>;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Input/Output definition</span></span>
clear io; io_i = 1;
io(io_i) = linio([mdl, <span class="org-string">'/J-T'</span>], 1, <span class="org-string">'openinput'</span>); io_i = io_i <span class="org-type">+</span> 1;
io(io_i) = linio([mdl, <span class="org-string">'/L'</span>], 1, <span class="org-string">'openoutput'</span>); io_i = io_i <span class="org-type">+</span> 1;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Run the linearization</span></span>
G = linearize(mdl, io, options);
G.InputName = {<span class="org-string">'F1'</span>, <span class="org-string">'F2'</span>, <span class="org-string">'F3'</span>, <span class="org-string">'F4'</span>, <span class="org-string">'F5'</span>, <span class="org-string">'F6'</span>};
G.OutputName = {<span class="org-string">'L1'</span>, <span class="org-string">'L2'</span>, <span class="org-string">'L3'</span>, <span class="org-string">'L4'</span>, <span class="org-string">'L5'</span>, <span class="org-string">'L6'</span>};
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">freqs = logspace(1, 3, 1000);
<span class="org-type">figure</span>; bode(G, 2<span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>freqs)
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">bodeFig({G(1,1), G(1,2)}, freqs, struct(<span class="org-string">'phase'</span>, <span class="org-constant">true</span>));
</pre>
</div>
</div>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:27</p>
</div>
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<div id="content">
<h1 class="title">Stewart Platforms</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgff0bfd7">Simulink Project (link)</a></li>
<li><a href="#org38b9089">Stewart Platform Architecture Definition (link)</a></li>
<li><a href="#orgf1c7b3b">Simscape Model of the Stewart Platform (link)</a></li>
<li><a href="#org369c8bb">Kinematic Analysis (link)</a></li>
<li><a href="#org2e3169e">Identification of the Stewart Dynamics (link)</a></li>
<li><a href="#orgc3a4c87">Active Damping (link)</a></li>
<li><a href="#org5b4e9b0">Motion Control of the Stewart Platform (link)</a></li>
<li><a href="#org1f468b1">Cubic Configuration (link)</a></li>
</ul>
</div>
</div>
<p>
The goal of this project is to provide a Matlab/Simscape Toolbox to study Stewart platforms.
</p>
<p>
The project is divided into several section listed below.
</p>
<div id="outline-container-orgff0bfd7" class="outline-2">
<h2 id="orgff0bfd7">Simulink Project (<a href="simulink-project.html">link</a>)</h2>
<div class="outline-text-2" id="text-orgff0bfd7">
<p>
The project is managed with a <b>Simulink Project</b>.
Such project is briefly presented <a href="simulink-project.html">here</a>.
</p>
</div>
</div>
<div id="outline-container-org38b9089" class="outline-2">
<h2 id="org38b9089">Stewart Platform Architecture Definition (<a href="stewart-architecture.html">link</a>)</h2>
<div class="outline-text-2" id="text-org38b9089">
<p>
The way the Stewart Platform is defined <a href="stewart-architecture.html">here</a>.
</p>
<p>
All the geometrical parameters are defined including:
</p>
<ul class="org-ul">
<li>Definition of the location of the frames</li>
<li>Location/orientation of the limbs</li>
<li>Size/inertia of the platforms and the limbs</li>
</ul>
<p>
Other parameters are also defined such as:
</p>
<ul class="org-ul">
<li>Stiffness and damping of the struts</li>
<li>Rest position of the Stewart platform</li>
</ul>
</div>
</div>
<div id="outline-container-orgf1c7b3b" class="outline-2">
<h2 id="orgf1c7b3b">Simscape Model of the Stewart Platform (<a href="simscape-model.html">link</a>)</h2>
<div class="outline-text-2" id="text-orgf1c7b3b">
<p>
The Stewart Platform is then modeled using <a href="https://www.mathworks.com/products/simscape.html">Simscape</a>.
</p>
<p>
The way to model is build and works is explained <a href="simscape-model.html">here</a>.
</p>
</div>
</div>
<div id="outline-container-org369c8bb" class="outline-2">
<h2 id="org369c8bb">Kinematic Analysis (<a href="kinematic-study.html">link</a>)</h2>
<div class="outline-text-2" id="text-org369c8bb">
<p>
From the defined geometry of the Stewart platform, we can perform static analysis such as:
</p>
<ul class="org-ul">
<li><b>Jacobian Analysis</b> that links the velocity of each limb to the velocity of the mobile platform</li>
<li><b>Static Forces Analysis</b> that links the forces applied by each limb to the resulting force/torque applied to the mobile platform</li>
</ul>
<p>
From the strut stiffness, we can also perform a <b>Stiffness Analysis</b> that consists of determining the Stiffness matrix and Compliance matrix of the Stewart platform from the geometry.
</p>
<p>
All these analysis are described <a href="kinematic-study.html">here</a>.
</p>
</div>
</div>
<div id="outline-container-org2e3169e" class="outline-2">
<h2 id="org2e3169e">Identification of the Stewart Dynamics (<a href="identification.html">link</a>)</h2>
<div class="outline-text-2" id="text-org2e3169e">
<p>
The Dynamics of the Stewart platform can be identified using the Simscape model.
</p>
<p>
It is possible to:
</p>
<ul class="org-ul">
<li>Determine the dynamics from the actuators to the various sensors included in the Stewart platform</li>
<li>Extract State Space models for further analysis / control synthesis</li>
<li>Extract the Resonant Frequencies, Modal Damping, and associated Mode Shapes</li>
</ul>
<p>
The code that is used for identification is explained <a href="identification.html">here</a>.
</p>
</div>
</div>
<div id="outline-container-orgc3a4c87" class="outline-2">
<h2 id="orgc3a4c87">Active Damping (<a href="active-damping.html">link</a>)</h2>
<div class="outline-text-2" id="text-orgc3a4c87">
<p>
The use of different sensors are compared for active damping:
</p>
<ul class="org-ul">
<li>Inertial Sensor in each strut</li>
<li>Inertial Sensor fixed to the mobile platform</li>
<li>Force Sensor in each strut</li>
<li>Relative Motion Sensor in each strut</li>
</ul>
<p>
The result of the analysis is accessible <a href="active-damping.html">here</a>.
</p>
</div>
</div>
<div id="outline-container-org5b4e9b0" class="outline-2">
<h2 id="org5b4e9b0">Motion Control of the Stewart Platform (<a href="control-study.html">link</a>)</h2>
<div class="outline-text-2" id="text-org5b4e9b0">
<p>
Some control architecture for motion control of the Stewart platform are applied on the Simscape model and compared in <a href="control-study.html">this</a> document.
</p>
</div>
</div>
<div id="outline-container-org1f468b1" class="outline-2">
<h2 id="org1f468b1">Cubic Configuration (<a href="cubic-configuration.html">link</a>)</h2>
<div class="outline-text-2" id="text-org1f468b1">
<p>
The cubic configuration is a special class of Stewart platform that has interesting properties.
</p>
<p>
These properties are studied in <a href="cubic-configuration.html">this</a> document.
</p>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:27</p>
</div>
</body>
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</div><div id="content">
<h1 class="title">Stewart Platform - Simscape Model</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgc6e0b93">Parameters used for the Simscape Model</a></li>
<li><a href="#org66977e8">Simulation Configuration - Configuration reference</a></li>
<li><a href="#orgb2362eb">Subsystem Reference</a></li>
<li><a href="#orgdfad86d">Subsystem - Fixed base and Mobile Platform</a></li>
<li><a href="#org9d4af75">Subsystem - Struts</a>
<ul>
<li><a href="#org45d9234">Strut Configuration</a></li>
</ul>
</li>
<li><a href="#org7e2c432">Other Elements</a>
<ul>
<li><a href="#org4bdfc33">Z-Axis Geophone</a>
<ul>
<li><a href="#org60cad49">Working Principle</a></li>
<li><a href="#org48bfa57">Initialization function</a></li>
</ul>
</li>
<li><a href="#org99786f1">Z-Axis Accelerometer</a>
<ul>
<li><a href="#org631cd1a">Working Principle</a></li>
<li><a href="#org514425a">Initialization function</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
</div>
<p>
In this document is explained how the Simscape model of the Stewart Platform is implemented.
</p>
<p>
It is divided in the following sections:
</p>
<ul class="org-ul">
<li>section <a href="#org8d965c3">No description for this link</a>: is explained how the parameters of the Stewart platform are set for the Simscape model</li>
<li>section <a href="#org354bfdb">No description for this link</a>: the Simulink configuration (solver, simulation time, &#x2026;) is shared among all the Simulink files. It is explain how this is done.</li>
<li>section <a href="#org66bbae2">No description for this link</a>: All the elements (platforms, struts, sensors, &#x2026;) are saved in separate files and imported in Simulink files using &ldquo;subsystem referenced&rdquo;.</li>
<li>section <a href="#orga4915c4">No description for this link</a>: The simscape model for the fixed base and mobile platform are described in this section.</li>
<li>section <a href="#orgdb5206f">No description for this link</a>: The simscape model for the Stewart platform struts is described in this section.</li>
</ul>
<div id="outline-container-orgc6e0b93" class="outline-2">
<h2 id="orgc6e0b93">Parameters used for the Simscape Model</h2>
<div class="outline-text-2" id="text-orgc6e0b93">
<p>
<a id="org8d965c3"></a>
The Simscape Model of the Stewart Platform is working with the <code>stewart</code> structure generated using the functions described <a href="stewart-architecture.html">here</a>.
</p>
<p>
All the geometry and inertia of the mechanical elements are defined in the <code>stewart</code> structure.
</p>
<p>
By updating the <code>stewart</code> structure in the workspace, the Simscape model will be automatically updated.
</p>
<p>
Thus, nothing should be changed by hand inside the Simscape model.
</p>
<p>
The main advantage to have all the parameters defined in one structure (and not hard-coded in some simulink blocs) it that we can easily change the Stewart architecture/parameters in a Matlab script to perform some parametric study for instance.
</p>
</div>
</div>
<div id="outline-container-org66977e8" class="outline-2">
<h2 id="org66977e8">Simulation Configuration - Configuration reference</h2>
<div class="outline-text-2" id="text-org66977e8">
<p>
<a id="org354bfdb"></a>
As multiple simulink files will be used for simulation and tests, it is very useful to determine good simulation configuration that will be <b>shared</b> among all the simulink files.
</p>
<p>
This is done using something called &ldquo;<b>Configuration Reference</b>&rdquo; (<a href="https://fr.mathworks.com/help/simulink/ug/more-about-configuration-references.html">documentation</a>).
</p>
<p>
Basically, the configuration is stored in a mat file <code>conf_simscape.mat</code> and then loaded in the workspace for it to be accessible to all the simulink models.
It is automatically loaded when the Simulink project is open. It can be loaded manually with the command:
</p>
<div class="org-src-container">
<pre class="src src-matlab">load(<span class="org-string">'mat/conf_simscape.mat'</span>);
</pre>
</div>
<p>
It is however possible to modify specific parameters just for one simulation using the <code>set_param</code> command:
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-matlab-simulink-keyword">set_param</span>(<span class="org-variable-name">conf_simscape</span>, <span class="org-string">'StopTime'</span>, 1);
</pre>
</div>
</div>
</div>
<div id="outline-container-orgb2362eb" class="outline-2">
<h2 id="orgb2362eb">Subsystem Reference</h2>
<div class="outline-text-2" id="text-orgb2362eb">
<p>
<a id="org66bbae2"></a>
Several Stewart platform models are used, for instance one is use to study the dynamics while the other is used to apply active damping techniques.
</p>
<p>
However, all the Simscape models share some subsystems using the <b>Subsystem Reference</b> Simulink block (<a href="https://fr.mathworks.com/help/simulink/ug/referenced-subsystem-1.html">documentation</a>).
</p>
<p>
These shared subsystems are:
</p>
<ul class="org-ul">
<li><code>Fixed_Based.slx</code> - Fixed base of the Stewart Platform</li>
<li><code>Mobile_Platform.slx</code> - Mobile platform of the Stewart Platform</li>
<li><code>stewart_strut.slx</code> - One strut containing two spherical/universal joints, the actuator as well as the included sensors. A parameter <code>i</code> is initialized to determine what it the &ldquo;number&rdquo; of the strut.</li>
</ul>
<p>
These subsystems are referenced from another subsystem called <code>Stewart_Platform.slx</code> shown in figure <a href="#orgf687c71">1</a>, that basically connect them correctly.
This subsystem is then referenced in other simulink models for various purposes (control, analysis, simulation, &#x2026;).
</p>
<div id="orgf687c71" class="figure">
<p><img src="figs/simscape_stewart_platform.png" alt="simscape_stewart_platform.png" />
</p>
<p><span class="figure-number">Figure 1: </span>Simscape Subsystem of the Stewart platform. Encapsulate the Subsystems corresponding to the fixed base, mobile platform and all the struts.</p>
</div>
</div>
</div>
<div id="outline-container-orgdfad86d" class="outline-2">
<h2 id="orgdfad86d">Subsystem - Fixed base and Mobile Platform</h2>
<div class="outline-text-2" id="text-orgdfad86d">
<p>
<a id="orga4915c4"></a>
Both the fixed base and the mobile platform simscape models share many similarities.
</p>
<p>
Their are both composed of:
</p>
<ul class="org-ul">
<li>a solid body representing the platform</li>
<li>6 rigid transform blocks to go from the frame \(\{F\}\) (resp. \(\{M\}\)) to the location of the joints.
These rigid transform are using \({}^F\bm{a}_i\) (resp. \({}^M\bm{b}_i\)) for the position of the joint and \({}^F\bm{R}_{a_i}\) (resp. \({}^M\bm{R}_{b_i}\)) for the orientation of the joint.</li>
</ul>
<p>
As always, the parameters that define the geometry are taken from the <code>stewart</code> structure.
</p>
<div id="org858f0b4" class="figure">
<p><img src="figs/simscape_fixed_base.png" alt="simscape_fixed_base.png" width="1000px" />
</p>
<p><span class="figure-number">Figure 2: </span>Simscape Model of the Fixed base</p>
</div>
<div id="org4b31aa3" class="figure">
<p><img src="figs/simscape_mobile_platform.png" alt="simscape_mobile_platform.png" width="800px" />
</p>
<p><span class="figure-number">Figure 3: </span>Simscape Model of the Mobile platform</p>
</div>
</div>
</div>
<div id="outline-container-org9d4af75" class="outline-2">
<h2 id="org9d4af75">Subsystem - Struts</h2>
<div class="outline-text-2" id="text-org9d4af75">
<p>
<a id="orgdb5206f"></a>
</p>
</div>
<div id="outline-container-org45d9234" class="outline-3">
<h3 id="org45d9234">Strut Configuration</h3>
<div class="outline-text-3" id="text-org45d9234">
<p>
For the Stewart platform, the 6 struts are identical.
Thus, all the struts used in the Stewart platform are referring to the same subsystem called <code>stewart_strut.slx</code> and shown in Figure <a href="#org1dc8fce">4</a>.
</p>
<p>
This strut as the following structure:
</p>
<ul class="org-ul">
<li><b>Universal Joint*</b> connected on the Fixed base</li>
<li><b>Prismatic Joint*</b> for the actuator</li>
<li><b>Spherical Joint*</b> connected on the Mobile platform</li>
</ul>
<p>
This configuration is called <b>UPS</b>.
</p>
<p>
The other common configuration <b>SPS</b> has the disadvantage of having additional passive degrees-of-freedom corresponding to the rotation of the strut around its main axis.
This is why the <b>UPS</b> configuration is used, but other configuration can be easily implemented.
</p>
<div id="org1dc8fce" class="figure">
<p><img src="figs/simscape_strut.png" alt="simscape_strut.png" width="800px" />
</p>
<p><span class="figure-number">Figure 4: </span>Simscape model of the Stewart platform&rsquo;s strut</p>
</div>
<p>
Several sensors are included in the strut that may or may not be used for control:
</p>
<ul class="org-ul">
<li>Relative Displacement sensor: gives the relative displacement of the strut.</li>
<li>Force sensor: measure the total force applied by the force actuator, the stiffness and damping forces in the direction of the strut.</li>
<li>Inertial sensor: measure the absolute motion (velocity) of the top part of the strut in the direction of the strut.</li>
</ul>
<p>
There is two main types of inertial sensor that can be used to measure the absolute motion of the top part of the strut in the direction of the strut:
</p>
<ul class="org-ul">
<li>a geophone that measures the absolute velocity above some frequency</li>
<li>an accelerometer that measures the absolute acceleration below some frequency</li>
</ul>
<p>
Both inertial sensors are described bellow.
</p>
</div>
</div>
</div>
<div id="outline-container-org7e2c432" class="outline-2">
<h2 id="org7e2c432">Other Elements</h2>
<div class="outline-text-2" id="text-org7e2c432">
</div>
<div id="outline-container-org4bdfc33" class="outline-3">
<h3 id="org4bdfc33">Z-Axis Geophone</h3>
<div class="outline-text-3" id="text-org4bdfc33">
</div>
<div id="outline-container-org60cad49" class="outline-4">
<h4 id="org60cad49">Working Principle</h4>
<div class="outline-text-4" id="text-org60cad49">
<p>
From the schematic of the Z-axis geophone shown in Figure <a href="#org819fba8">5</a>, we can write the transfer function from the support velocity \(\dot{w}\) to the relative velocity of the inertial mass \(\dot{d}\):
\[ \frac{\dot{d}}{\dot{w}} = \frac{-\frac{s^2}{{\omega_0}^2}}{\frac{s^2}{{\omega_0}^2} + 2 \xi \frac{s}{\omega_0} + 1} \]
with:
</p>
<ul class="org-ul">
<li>\(\omega_0 = \sqrt{\frac{k}{m}}\)</li>
<li>\(\xi = \frac{1}{2} \sqrt{\frac{m}{k}}\)</li>
</ul>
<div id="org819fba8" class="figure">
<p><img src="figs/inertial_sensor.png" alt="inertial_sensor.png" />
</p>
<p><span class="figure-number">Figure 5: </span>Schematic of a Z-Axis geophone</p>
</div>
<p>
We see that at frequencies above \(\omega_0\):
\[ \frac{\dot{d}}{\dot{w}} \approx -1 \]
</p>
<p>
And thus, the measurement of the relative velocity of the mass with respect to its support gives the absolute velocity of the support.
</p>
<p>
We generally want to have the smallest resonant frequency \(\omega_0\) to measure low frequency absolute velocity, however there is a trade-off between \(\omega_0\) and the mass of the inertial mass.
</p>
</div>
</div>
<div id="outline-container-org48bfa57" class="outline-4">
<h4 id="org48bfa57">Initialization function</h4>
<div class="outline-text-4" id="text-org48bfa57">
<p>
<a id="orgd31bda9"></a>
</p>
<p>
This Matlab function is accessible <a href="../src/initializeZAxisGeophone.m">here</a>.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-keyword">function</span> <span class="org-variable-name">[geophone]</span> = <span class="org-function-name">initializeZAxisGeophone</span>(<span class="org-variable-name">args</span>)
arguments
args.mass (1,1) double {mustBeNumeric, mustBePositive} = 1e<span class="org-type">-</span>3 <span class="org-comment">% [kg]</span>
args.freq (1,1) double {mustBeNumeric, mustBePositive} = 1 <span class="org-comment">% [Hz]</span>
<span class="org-keyword">end</span>
<span class="org-matlab-cellbreak"><span class="org-comment">%%</span></span>
geophone.m = args.mass;
<span class="org-matlab-cellbreak"><span class="org-comment">%% The Stiffness is set to have the damping resonance frequency</span></span>
geophone.k = geophone.m <span class="org-type">*</span> (2<span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>args.freq)<span class="org-type">^</span>2;
<span class="org-matlab-cellbreak"><span class="org-comment">%% We set the damping value to have critical damping</span></span>
geophone.c = 2<span class="org-type">*</span>sqrt(geophone.m <span class="org-type">*</span> geophone.k);
<span class="org-matlab-cellbreak"><span class="org-comment">%% Save</span></span>
save(<span class="org-string">'./mat/geophone_z_axis.mat'</span>, <span class="org-string">'geophone'</span>);
<span class="org-keyword">end</span>
</pre>
</div>
</div>
</div>
</div>
<div id="outline-container-org99786f1" class="outline-3">
<h3 id="org99786f1">Z-Axis Accelerometer</h3>
<div class="outline-text-3" id="text-org99786f1">
</div>
<div id="outline-container-org631cd1a" class="outline-4">
<h4 id="org631cd1a">Working Principle</h4>
<div class="outline-text-4" id="text-org631cd1a">
<p>
From the schematic of the Z-axis accelerometer shown in Figure <a href="#org1274602">6</a>, we can write the transfer function from the support acceleration \(\ddot{w}\) to the relative position of the inertial mass \(d\):
\[ \frac{d}{\ddot{w}} = \frac{-\frac{1}{{\omega_0}^2}}{\frac{s^2}{{\omega_0}^2} + 2 \xi \frac{s}{\omega_0} + 1} \]
with:
</p>
<ul class="org-ul">
<li>\(\omega_0 = \sqrt{\frac{k}{m}}\)</li>
<li>\(\xi = \frac{1}{2} \sqrt{\frac{m}{k}}\)</li>
</ul>
<div id="org1274602" class="figure">
<p><img src="figs/inertial_sensor.png" alt="inertial_sensor.png" />
</p>
<p><span class="figure-number">Figure 6: </span>Schematic of a Z-Axis geophone</p>
</div>
<p>
We see that at frequencies below \(\omega_0\):
\[ \frac{d}{\ddot{w}} \approx -\frac{1}{{\omega_0}^2} \]
</p>
<p>
And thus, the measurement of the relative displacement of the mass with respect to its support gives the absolute acceleration of the support.
</p>
<p>
Note that there is trade-off between:
</p>
<ul class="org-ul">
<li>the highest measurable acceleration \(\omega_0\)</li>
<li>the sensitivity of the accelerometer which is equal to \(-\frac{1}{{\omega_0}^2}\)</li>
</ul>
</div>
</div>
<div id="outline-container-org514425a" class="outline-4">
<h4 id="org514425a">Initialization function</h4>
<div class="outline-text-4" id="text-org514425a">
<p>
<a id="orge91f65f"></a>
</p>
<p>
This Matlab function is accessible <a href="../src/initializeZAxisAccelerometer.m">here</a>.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-keyword">function</span> <span class="org-variable-name">[accelerometer]</span> = <span class="org-function-name">initializeZAxisAccelerometer</span>(<span class="org-variable-name">args</span>)
arguments
args.mass (1,1) double {mustBeNumeric, mustBePositive} = 1e<span class="org-type">-</span>3 <span class="org-comment">% [kg]</span>
args.freq (1,1) double {mustBeNumeric, mustBePositive} = 5e3 <span class="org-comment">% [Hz]</span>
<span class="org-keyword">end</span>
<span class="org-matlab-cellbreak"><span class="org-comment">%%</span></span>
accelerometer.m = args.mass;
<span class="org-matlab-cellbreak"><span class="org-comment">%% The Stiffness is set to have the damping resonance frequency</span></span>
accelerometer.k = accelerometer.m <span class="org-type">*</span> (2<span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>args.freq)<span class="org-type">^</span>2;
<span class="org-matlab-cellbreak"><span class="org-comment">%% We set the damping value to have critical damping</span></span>
accelerometer.c = 2<span class="org-type">*</span>sqrt(accelerometer.m <span class="org-type">*</span> accelerometer.k);
<span class="org-matlab-cellbreak"><span class="org-comment">%% Gain correction of the accelerometer to have a unity gain until the resonance</span></span>
accelerometer.gain = <span class="org-type">-</span>accelerometer.k<span class="org-type">/</span>accelerometer.m;
<span class="org-matlab-cellbreak"><span class="org-comment">%% Save</span></span>
save(<span class="org-string">'./mat/accelerometer_z_axis.mat'</span>, <span class="org-string">'accelerometer'</span>);
<span class="org-keyword">end</span>
</pre>
</div>
</div>
</div>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:26</p>
</div>
</body>
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<h1 class="title">Simulink Project for the Stewart Simscape folder</h1>
<p>
A Simulink Project is used for the study of Stewart platforms using Simscape.
</p>
<p>
From the <a href="https://mathworks.com/products/simulink/projects.html">Simulink project</a> mathworks page:
</p>
<blockquote>
<p>
Simulink® and Simulink Projects provide a collaborative, scalable environment that enables teams to manage their files and data in one place.
</p>
<p>
With Simulink Projects, you can:
</p>
<ul class="org-ul">
<li><b>Collaborate</b>: Enforce companywide standards such as company tools, libraries, and standard startup and shutdown scripts. Share your work with rich sharing options including MATLAB® toolboxes, email, and archives.</li>
<li><b>Automate</b>: Set up your project environment correctly every time by automating steps such as loading the data, managing the path, and opening the models.</li>
<li><b>Integrate with source control</b>: Enable easy integration with source control and configuration management tools.</li>
</ul>
</blockquote>
<p>
The project can be opened using the <code>simulinkproject</code> function:
</p>
<div class="org-src-container">
<pre class="src src-matlab">simulinkproject(<span class="org-string">'./'</span>);
</pre>
</div>
<p>
When the project opens, a startup script is ran.
The startup script is defined below and is exported to the <code>project_startup.m</code> script.
</p>
<div class="org-src-container">
<pre class="src src-matlab">project = simulinkproject;
projectRoot = project.RootFolder;
myCacheFolder = fullfile(projectRoot, <span class="org-string">'.SimulinkCache'</span>);
myCodeFolder = fullfile(projectRoot, <span class="org-string">'.SimulinkCode'</span>);
Simulink.fileGenControl(<span class="org-string">'set'</span>,...
<span class="org-string">'CacheFolder'</span>, myCacheFolder,...
<span class="org-string">'CodeGenFolder'</span>, myCodeFolder,...
<span class="org-string">'createDir'</span>, <span class="org-constant">true</span>);
<span class="org-matlab-cellbreak"><span class="org-comment">%% Load the Simscape Configuration</span></span>
load(<span class="org-string">'mat/conf_simscape.mat'</span>);
</pre>
</div>
<p>
When the project closes, it runs the <code>project_shutdown.m</code> script defined below.
</p>
<div class="org-src-container">
<pre class="src src-matlab">Simulink.fileGenControl(<span class="org-string">'reset'</span>);
</pre>
</div>
<p>
The project also permits to automatically add defined folder to the path when the project is opened.
</p>
</div>
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<h1 class="title">Stewart Platform - Static Analysis</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#orgc502e97">Coupling</a></li>
</ul>
</div>
</div>
<div id="outline-container-orgc502e97" class="outline-2">
<h2 id="orgc502e97">Coupling</h2>
<div class="outline-text-2" id="text-orgc502e97">
<p>
What causes the coupling from \(F_i\) to \(X_i\) ?
</p>
<div class="org-src-container">
<pre class="src src-latex"><span class="org-font-latex-sedate"><span class="org-keyword">\begin</span></span>{<span class="org-function-name">tikzpicture</span>}
<span class="org-font-latex-sedate">\node</span>[block] (Jt) at (0, 0) {<span class="org-font-latex-math">$J</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">^</span></span><span class="org-font-latex-math">{-T}$</span>};
<span class="org-font-latex-sedate">\node</span>[block, right= of Jt] (G) {<span class="org-font-latex-math">$G$</span>};
<span class="org-font-latex-sedate">\node</span>[block, right= of G] (J) {<span class="org-font-latex-math">$J</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">^</span></span><span class="org-font-latex-math">{-1}$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (<span class="org-font-latex-math">$(Jt.west)+(-0.8, 0)$</span>) -- (Jt.west) node[above left]{<span class="org-font-latex-math">$F</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">i$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (Jt.east) -- (G.west) node[above left]{<span class="org-font-latex-math">$</span><span class="org-font-latex-sedate"><span class="org-font-latex-math">\tau</span></span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">i$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (G.east) -- (J.west) node[above left]{<span class="org-font-latex-math">$q</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">i$</span>};
<span class="org-font-latex-sedate">\draw</span>[-&gt;] (J.east) -- ++(0.8, 0) node[above left]{<span class="org-font-latex-math">$X</span><span class="org-font-latex-math"><span class="org-font-latex-script-char">_</span></span><span class="org-font-latex-math">i$</span>};
<span class="org-font-latex-sedate"><span class="org-keyword">\end</span></span>{<span class="org-function-name">tikzpicture</span>}
</pre>
</div>
<div id="org41430df" class="figure">
<p><img src="figs/coupling.png" alt="coupling.png" />
</p>
<p><span class="figure-number">Figure 1: </span>Block diagram to control an hexapod</p>
</div>
<p>
There is no coupling from \(F_i\) to \(X_j\) if \(J^{-1} G J^{-T}\) is diagonal.
</p>
<p>
If \(G\) is diagonal (cubic configuration), then \(J^{-1} G J^{-T} = G J^{-1} J^{-T} = G (J^{T} J)^{-1} = G K^{-1}\)
</p>
<p>
Thus, the system is uncoupled if \(G\) and \(K\) are diagonal.
</p>
</div>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2020-02-11 mar. 15:27</p>
</div>
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