diff --git a/index.html b/index.html index 29a1d72..33da06b 100644 --- a/index.html +++ b/index.html @@ -3,7 +3,7 @@ "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
- +This report is also available as a pdf.
In this document are gathered and summarized all the developments done for the design of the Nano Active Stabilization System. This consists of a nano-hexapod and an associated control architecture that are used to stabilize samples down to the nano-meter level in presence of disturbances. @@ -120,7 +120,7 @@ This consists of a nano-hexapod and an associated control architecture that are
-To understand the design challenges of such system, a short introduction to Feedback control is provided in Section 1. +To understand the design challenges of such system, a short introduction to Feedback control is provided in Section 1. The mathematical tools (Power Spectral Density, Noise Budgeting, …) that will be used throughout this study are also introduced.
@@ -129,54 +129,54 @@ The mathematical tools (Power Spectral Density, Noise Budgeting, …) that To develop both the nano-hexapod and the control architecture in an optimal way, precise estimation of the following is required:-A model of the micro-station is then developed and tuned using the previous estimations (Section 4). +A model of the micro-station is then developed and tuned using the previous estimations (Section 4). The nano-hexapod is further included in the model.
The effects of the nano-hexapod characteristics on the system dynamics are then studied. -Based on that, an optimal choice of the nano-hexapod stiffness is made (Section 5). +Based on that, an optimal choice of the nano-hexapod stiffness is made (Section 5).
Finally, using the optimally designed nano-hexapod, a robust control architecture is developed. -Simulations are performed to show that this design gives acceptable performance and the required robustness (Section 6). +Simulations are performed to show that this design gives acceptable performance and the required robustness (Section 6).
-In this section, some basics of feedback systems are first introduced (Section 1.1). +In this section, some basics of feedback systems are first introduced (Section 1.1). This should highlight the challenges of the required combined performance and robustness.
-In Section 1.2 is introduced the dynamic error budgeting which is a powerful tool that allows to derive the total error in a dynamic system from multiple disturbance sources. +In Section 1.2 is introduced the dynamic error budgeting which is a powerful tool that allows to derive the total error in a dynamic system from multiple disturbance sources. This tool will be widely used throughout this study to both predict the performances and identify the effects that do limit the performances. It is very well described in monkhorst04_dynam_error_budget.
The use of Feedback control in a motion system required to use some sensors to monitor the actual status of the system and actuators to modifies this status. @@ -215,11 +215,11 @@ Very good introduction to feedback control are given in oomen18_advan_motion_contr_precis_mechat
@@ -414,11 +414,11 @@ This problem of robustness represent one of the main challenge for the deThe dynamic error budgeting is a powerful tool to study the effects of multiple error sources (i.e. disturbances and measurement noise) and to predict how much these effects are reduced by a feedback system. @@ -429,19 +429,19 @@ The dynamic error budgeting uses two important mathematical functions: the Po
-After these two functions are introduced (in Sections 1.2.1 and 1.2.2), is shown how do multiple error sources are combined and modified by dynamical systems (in Section 1.2.3 and 1.2.4). +After these two functions are introduced (in Sections 1.2.1 and 1.2.2), is shown how do multiple error sources are combined and modified by dynamical systems (in Section 1.2.3 and 1.2.4).
-Finally, the dynamic noise budgeting for the NASS is derived in Section 1.2.5. +Finally, the dynamic noise budgeting for the NASS is derived in Section 1.2.5.
@@ -504,11 +504,11 @@ It can also helps to determine at which frequencies the effect of disturbances m
-A typical Cumulative Power Spectrum is shown in figure 4. +A typical Cumulative Power Spectrum is shown in figure 4.
-
Figure 4: Cumulative Power Spectrum \(CPS_{-}\) in open-loop and closed-loop for increasing gains (taken from preumont18_vibrat_contr_activ_struc_fourt_edition)
@@ -516,19 +516,19 @@ A typical Cumulative Power Spectrum is shown in figure 4-Let’s consider a signal \(u\) with a PSD \(S_{uu}\) going through a LTI system \(G(s)\) that outputs a signal \(y\) with a PSD (Figure 5). +Let’s consider a signal \(u\) with a PSD \(S_{uu}\) going through a LTI system \(G(s)\) that outputs a signal \(y\) with a PSD (Figure 5).
-
Figure 5: LTI dynamical system \(G(s)\) with input signal \(u\) and output signal \(y\)
@@ -543,15 +543,15 @@ The Power Spectral Density of the output signal \(y\) can be computed using:-Let’s consider a signal \(y\) that is the sum of two uncorrelated signals \(u\) and \(v\) (Figure 6). +Let’s consider a signal \(y\) that is the sum of two uncorrelated signals \(u\) and \(v\) (Figure 6).
@@ -560,7 +560,7 @@ The PSD of \(y\) is equal to sum of the PSD and \(u\) and the PSD of \(v\) (can
-
Figure 6: \(y\) as the sum of two signals \(u\) and \(v\)
@@ -568,15 +568,15 @@ The PSD of \(y\) is equal to sum of the PSD and \(u\) and the PSD of \(v\) (can-Let’s consider the Feedback architecture in Figure 1 where the position error \(\epsilon\) is equal to: +Let’s consider the Feedback architecture in Figure 1 where the position error \(\epsilon\) is equal to: \[ \epsilon = S r + T n - G_d S d \]
@@ -600,25 +600,25 @@ To estimate the PSD of the position error \(\epsilon\) and thus the RMS residualAs explained before, it is very important to have a good estimation of the micro-station dynamics as it will be used: @@ -636,7 +636,7 @@ All the measurements performed on the micro-station are detailed in 7. +The general procedure to identify the dynamics of the micro-station is shown in Figure 7. The steps are:
Figure 7: Vibration Analysis Procedure
@@ -658,11 +658,11 @@ Instead, the model will be tuned using both the modal model and the response mod@@ -688,13 +688,13 @@ In order to perform the modal analysis, the following devices were used: The measurement consists of:
Figure 8: Example of one hammer impact
Figure 9: 3 tri axis accelerometers fixed to the translation stage
@@ -725,11 +725,11 @@ It was chosen to have some redundancy in the measurement to be able to verify th@@ -738,18 +738,18 @@ From the measurements are extracted all the transfer functions from forces appli
Modal shapes and natural frequencies are then computed. -Example of the obtained micro-station’s mode shapes are shown in Figures 10 and 11. +Example of the obtained micro-station’s mode shapes are shown in Figures 10 and 11.
-
Figure 10: First mode that shows a suspension mode, probably due to bad leveling of one Airloc
Figure 11: Sixth mode
@@ -778,12 +778,12 @@ This thus means that a multi-body model can be used to correctly represent thMany Frequency Response Functions (FRF) are obtained from the measurements. -Examples of FRF are shown in Figure 12. +Examples of FRF are shown in Figure 12. These FRF will be used to compare the dynamics of the multi-body model with the micro-station dynamics.
-
Figure 12: Frequency Response Function from forces applied by the Hammer in the X direction to the acceleration of each solid body in the X direction
@@ -791,8 +791,8 @@ These FRF will be used to compare the dynamics of the multi-body model with the@@ -800,7 +800,7 @@ The dynamical measurements made on the micro-station confirmed the fact that a m
-In Section 4, the obtained Frequency Response Functions will be used to compare the model dynamics with the micro-station dynamics. +In Section 4, the obtained Frequency Response Functions will be used to compare the model dynamics with the micro-station dynamics.
In this section, all the disturbances affecting the system are identified and quantified. @@ -827,13 +827,13 @@ These are however very important for the evaluation of the required nano-hexapod The main challenge is to reduce the disturbances containing high frequencies, and thus efforts are made to identify these high frequency disturbances such as:
-A noise budgeting is performed in Section 3.4, the vibrations induced by the disturbances are compared and the required control bandwidth is estimated. +A noise budgeting is performed in Section 3.4, the vibrations induced by the disturbances are compared and the required control bandwidth is estimated.
@@ -841,11 +841,11 @@ The measurements are presented in more detail in
-
@@ -853,12 +853,12 @@ Ground motion can easily be estimated using an inertial sensor with sufficient r
-To verify that the inertial sensors are sensitive enough, a Huddle test has been performed (Figure 13).
+To verify that the inertial sensors are sensitive enough, a Huddle test has been performed (Figure 13).
The details of the Huddle Test can be found here.
Figure 13: Huddle Test Setup
Figure 14: Comparison of the PSD of the ground motion measured at different location
@@ -905,11 +905,11 @@ Complete reports on these measurements are accessible
-
In this section, the vibrations induced by scans of the translation stage and rotation of the spindle and studied.
@@ -920,15 +920,15 @@ Details reports are accessible
-
-The setup for the measurement of vibrations induced by rotation of the Spindle and Slip-ring is shown in Figure 15.
+The setup for the measurement of vibrations induced by rotation of the Spindle and Slip-ring is shown in Figure 15.
Figure 15: Measurement of the sample’s vertical motion when rotating at 6rpm
-The obtained Power Spectral Densities of the sample’s absolute velocity are shown in Figure 16.
+The obtained Power Spectral Densities of the sample’s absolute velocity are shown in Figure 16.
@@ -961,7 +961,7 @@ Its cause has not been identified yet
-
Figure 16: Comparison of the ASD of the measured voltage from the Geophone at the sample location
The same setup is used: a geophone is located at the sample’s location and another on the granite.
-A 1Hz triangle motion with an amplitude of \(\pm 2.5mm\) is sent to the translation stage (Figure 17), and the absolute velocities of the sample and the granite are measured.
+A 1Hz triangle motion with an amplitude of \(\pm 2.5mm\) is sent to the translation stage (Figure 17), and the absolute velocities of the sample and the granite are measured.
Figure 17: Y position of the translation stage measured by the encoders
-The time domain absolute vertical velocity of the sample and granite are shown in Figure 18.
+The time domain absolute vertical velocity of the sample and granite are shown in Figure 18.
It is shown that quite large motion of the granite is induced by the translation stage scans.
This could be a problem if this is shown to excite the metrology frame of the nano-focusing lens position stage.
Figure 18: Vertical velocity of the sample and marble when scanning with the translation stage
-The Amplitude Spectral Densities of the measured absolute velocities are shown in Figure 19.
+The Amplitude Spectral Densities of the measured absolute velocities are shown in Figure 19.
The ASD contains any peaks starting from 1Hz showing the large spectral content of the motion which is probably due to the triangular reference of the translation stage.
Figure 19: Amplitude spectral density of the measure velocity corresponding to the geophone in the vertical direction located on the granite and at the sample location when the translation stage is scanning at 1Hz
@@ -1048,7 +1048,7 @@ The effect of all the disturbance sources on the position error (relative motion
-The Power Spectral Density of the motion error due to the ground motion, translation stage scans and spindle rotation are shown in Figure 20.
+The Power Spectral Density of the motion error due to the ground motion, translation stage scans and spindle rotation are shown in Figure 20.
@@ -1056,26 +1056,26 @@ It can be seen that the ground motion is quite small compare to the translation
Figure 20: Amplitude Spectral Density fo the motion error due to disturbances
-The Cumulative Amplitude Spectrum is shown in Figure 21.
+The Cumulative Amplitude Spectrum is shown in Figure 21.
It is shown that the motion induced by translation stage scans and spindle rotation are in the micro-meter range for frequencies above 1Hz.
Figure 21: Cumulative Amplitude Spectrum \(CAS_{-}\) of the motion error due to disturbances
-From Figure 21, required bandwidth can be estimated by seeing that \(10\ nm [rms]\) motion is induced by the perturbations above 100Hz.
+From Figure 21, required bandwidth can be estimated by seeing that \(10\ nm [rms]\) motion is induced by the perturbations above 100Hz.
@@ -1088,8 +1088,8 @@ From that, it can be concluded that control bandwidth will have to be around 100
All the disturbance measurements were made with inertial sensors, and to obtain the relative motion sample/granite, two inertial sensors were used and the signals were subtracted.
@@ -1109,8 +1109,8 @@ The detector requirement would need to have a sample frequency above \(400Hz\) a
@@ -1135,14 +1135,14 @@ This should however not change the conclusion of this study nor significantly ch
-As was shown during the modal analysis (Section 2), the micro-station behaves as multiple rigid bodies (granite, translation stage, tilt stage, spindle, hexapod) connected with some discrete flexibility (stiffnesses and dampers).
+As was shown during the modal analysis (Section 2), the micro-station behaves as multiple rigid bodies (granite, translation stage, tilt stage, spindle, hexapod) connected with some discrete flexibility (stiffnesses and dampers).
@@ -1155,11 +1155,11 @@ A small summary of the multi-body Simscape is available
-
@@ -1183,11 +1183,11 @@ Then, the values of the stiffnesses and damping properties of each joint is manu
-The 3D representation of the simscape model is shown in Figure 22.
+The 3D representation of the simscape model is shown in Figure 22.
Figure 22: 3D representation of the simscape model
@@ -1207,7 +1207,7 @@ Tuning the dynamics of such model is very difficult as there are more than 50 pa
-The comparison of three of the Frequency Response Functions are shown in Figure 23.
+The comparison of three of the Frequency Response Functions are shown in Figure 23.
@@ -1219,7 +1219,7 @@ We believe that the model is representing the micro-station dynamics sufficient
Figure 23: Frequency Response function from Hammer force in the X,Y and Z directions to the X,Y and Z displacements of the micro-hexapod’s top platform. The measurements are shown in blue and the Model in red.
@@ -1264,7 +1264,7 @@ For the control of the nano-hexapod, the sample position error (the motion to be
-To do so, several computations are performed (summarized in Figure 24):
+To do so, several computations are performed (summarized in Figure 24):
Figure 24: Schematic of how the elements are interacting with the Speedgoat
@@ -1304,16 +1304,16 @@ Now that the dynamics of the model is tuned and the disturbances included in the
A first simulation is done with the nano-hexapod modeled as a rigid-body.
This does represent the system without the NASS and permits to estimate the sample’s vibrations using the micro-station alone.
-The results of this simulation will be compared to simulations using the NASS in Section 6.4.
+The results of this simulation will be compared to simulations using the NASS in Section 6.4.
-An 3D animation of the simulation is shown in Figure 25.
+An 3D animation of the simulation is shown in Figure 25.
-A zoom in the micro-meter ranger on the sample’s location is shown in Figure 26 with two frames:
+A zoom in the micro-meter ranger on the sample’s location is shown in Figure 26 with two frames:
Figure 25: Tomography Experiment using the Simscape Model
Figure 26: Tomography Experiment using the Simscape Model - Zoom on the sample’s position (the full vertical scale is \(\approx 10 \mu m\))
-The position error of the sample with respect to the granite are shown in Figure 27.
+The position error of the sample with respect to the granite are shown in Figure 27.
It is confirmed that the X-Y-Z position errors are in the micro-meter range.
Figure 27: Position error of the Sample with respect to the granite during a Tomography Experiment with included disturbances
@@ -1394,11 +1394,11 @@ In the next sections, it will allows to optimally design the nano-hexapod, to de
As explain before, the nano-hexapod properties (mass, stiffness, legs’ orientation, …) will influence:
@@ -1412,9 +1412,9 @@ As explain before, the nano-hexapod properties (mass, stiffness, legs’ ori
The objective is here to find the optimal nano-hexapod properties such that:
@@ -1426,11 +1426,11 @@ Also, the nano-hexapod’s damping is not studied here as it is supposed to
@@ -1443,30 +1443,30 @@ A typical Stewart platform is composed of two platforms connected by six identic
-This is very schematically shown in Figure 28 where the \(a_i\) are the location of the joints connected to the fixed platform and the \(b_i\) are the joints connected to the mobile platform.
+This is very schematically shown in Figure 28 where the \(a_i\) are the location of the joints connected to the fixed platform and the \(b_i\) are the joints connected to the mobile platform.
Figure 28: Schematic representation of a Stewart platform
-As shows in Figure 28, two frames \(\{A\}\) and \(\{B\}\) are virtually fixed to respectively the bottom and the top platforms.
+As shows in Figure 28, two frames \(\{A\}\) and \(\{B\}\) are virtually fixed to respectively the bottom and the top platforms.
These frames are used to describe the relative motion of the two platforms through the position vector \({}^A\bm{P}_B\) of \(\{B\}\) expressed in \(\{A\}\) and the rotation matrix \({}^A\bm{R}_B\) expressing the orientation of \(\{B\}\) with respect to \(\{A\}\).
For the nano-hexapod, these frames are chosen to be located at the theoretical center of the spherical metrology reflector.
Since the Stewart platform has six-degrees-of-freedom and six actuators, it is called a fully parallel manipulator.
-A change in the length of the legs \(\bm{\mathcal{L}} = \left[ l_1, l_2, l_3, l_4, l_5, l_6 \right]^T\) will induce a motion of the mobile platform with respect to the fixed platform as shown in Figure 29.
-The relation between a change in length of the legs and the relative motion of the platforms is studied thanks to the kinematic analysis, which is explained in Section 5.4.
+A change in the length of the legs \(\bm{\mathcal{L}} = \left[ l_1, l_2, l_3, l_4, l_5, l_6 \right]^T\) will induce a motion of the mobile platform with respect to the fixed platform as shown in Figure 29.
+The relation between a change in length of the legs and the relative motion of the platforms is studied thanks to the kinematic analysis, which is explained in Section 5.4.
Figure 29: Display of the Stewart platform architecture at some defined pose
As will be seen, the nano-hexapod stiffness have a large influence on the sensibility to disturbance (the norm of \(G_d\)).
@@ -1512,11 +1512,11 @@ A study of the optimal nano-hexapod stiffness for the minimization of disturbanc
-The sensibility to the spindle’s vibration for all the considered nano-hexapod stiffnesses (from \(10^3\,[N/m]\) to \(10^9\,[N/m]\)) is shown in Figure 30.
+The sensibility to the spindle’s vibration for all the considered nano-hexapod stiffnesses (from \(10^3\,[N/m]\) to \(10^9\,[N/m]\)) is shown in Figure 30.
It is shown that a softer nano-hexapod is better to filter out vertical vibrations of the spindle.
More precisely, the nano-hexapod filters out the vibration starting at the first suspension mode of the payload on top of the nano-hexapod.
Figure 30: Sensibility to Spindle vertical motion error to the vertical error position of the sample
-The sensibility to ground motion in the Y and Z directions is shown in Figure 31.
+The sensibility to ground motion in the Y and Z directions is shown in Figure 31.
Above the suspension mode of the nano-hexapod, the norm of the transmissibility is close to one until the suspension mode of the granite.
Thus, a stiff nano-hexapod (\(k>10^5\,[N/m]\)) is better for reducing the effect of ground motion at low frequency.
-It will be suggested in Section 8.4 that using soft mounts for the granite can greatly lower the sensibility to ground motion.
+It will be suggested in Section 8.4 that using soft mounts for the granite can greatly lower the sensibility to ground motion.
Figure 31: Sensibility to Ground motion to the position error of the sample
Looking at the change of sensibility with the nano-hexapod’s stiffness helps understand the physics of the system.
It however, does not permit to estimate the optimal stiffness that will lower the motion error due to disturbances.
@@ -1575,7 +1575,7 @@ This is the dynamic noise budgeting.
-From the Power Spectral Density of all the sources of disturbances identified in Section 3 is computed the Power Spectral Density of the vertical motion error for all the considered nano-hexapod stiffnesses (Figure 32).
+From the Power Spectral Density of all the sources of disturbances identified in Section 3 is computed the Power Spectral Density of the vertical motion error for all the considered nano-hexapod stiffnesses (Figure 32).
@@ -1583,7 +1583,7 @@ It can be seen that the most important change is in the frequency range 30Hz to
Figure 32: Amplitude Spectral Density of the Sample vertical position error due to Vertical vibration of the Spindle for multiple nano-hexapod stiffnesses
-It can be observe on the Cumulative amplitude spectrum of the vertical error motion in Figure 33, that a soft hexapod (\(k < 10^5 - 10^6\,[N/m]\)) helps reducing the high frequency disturbances, and thus a smaller control bandwidth will be required to obtain the wanted performance.
+It can be observe on the Cumulative amplitude spectrum of the vertical error motion in Figure 33, that a soft hexapod (\(k < 10^5 - 10^6\,[N/m]\)) helps reducing the high frequency disturbances, and thus a smaller control bandwidth will be required to obtain the wanted performance.
Figure 33: Cumulative Amplitude Spectrum \(CAS_{-}\) of the Sample vertical position error due to all considered perturbations for multiple nano-hexapod stiffnesses. The dashed back line corresponds to the wanted \(10nm\,rms\) of residual motion.
One of the most important design goal is to obtain a system that is robust to all changes in the system.
@@ -1646,15 +1646,15 @@ However, the dynamics from forces to sensors located in the nano-hexapod legs, s
The most obvious change in the system is the change of payload.
-In Figure 34 the dynamics is shown for payloads with a mass equal to 1kg, 20kg and 50kg (the resonance of the payload is fixed to 100Hz).
+In Figure 34 the dynamics is shown for payloads with a mass equal to 1kg, 20kg and 50kg (the resonance of the payload is fixed to 100Hz).
On the left side, the change of dynamics is computed for a very soft nano-hexapod, while on the right side, it is computed for a very stiff nano-hexapod.
Figure 34: Dynamics from \(\mathcal{F}_z\) to \(\mathcal{X}_z\) for varying payload mass, both for a soft nano-hexapod (left) and a stiff nano-hexapod (right)
-In Figure 35 is shown the effect of a change of payload dynamics.
+In Figure 35 is shown the effect of a change of payload dynamics.
The mass of the payload is fixed and its resonance frequency is changing from 50Hz to 500Hz.
Figure 35: Dynamics from \(\mathcal{F}_z\) to \(\mathcal{X}_z\) for varying payload resonance frequency, both for a soft nano-hexapod and a stiff nano-hexapod
-The dynamics for all the payloads (mass from 1kg to 50kg and first resonance from 50Hz to 500Hz) and all the considered nano-hexapod stiffnesses are display in Figure 36.
+The dynamics for all the payloads (mass from 1kg to 50kg and first resonance from 50Hz to 500Hz) and all the considered nano-hexapod stiffnesses are display in Figure 36.
@@ -1722,7 +1722,7 @@ For nano-hexapod stiffnesses above \(10^7\,[N/m]\):
-
Figure 36: Dynamics from \(\mathcal{F}_z\) to \(\mathcal{X}_z\) for varying payload dynamics, both for a soft nano-hexapod and a stiff nano-hexapod
-The micro-station dynamics is quite complex as was shown in Section 2, moreover, its dynamics can change due to:
+The micro-station dynamics is quite complex as was shown in Section 2, moreover, its dynamics can change due to:
-To identify the effect of the micro-station compliance on the system dynamics, the plant dynamics is identified in two different cases (Figure 37):
+To identify the effect of the micro-station compliance on the system dynamics, the plant dynamics is identified in two different cases (Figure 37):
Figure 37: Change of dynamics from force \(\mathcal{F}_x\) to displacement \(\mathcal{X}_x\) due to the micro-station compliance
Let’s now consider the rotation of the Spindle.
-The plant dynamics for spindle rotation speed varying from 0rpm up to 60rpm are identified and shown in Figure 38.
+The plant dynamics for spindle rotation speed varying from 0rpm up to 60rpm are identified and shown in Figure 38.
@@ -1836,7 +1836,7 @@ This effect has been studied in details in
+
Figure 38: Change of dynamics from force \(\mathcal{F}_x\) to displacement \(\mathcal{X}_x\) for a spindle rotation speed from 0rpm to 60rpm
-Finally, let’s combined all the uncertainties and display the “spread” of the plant dynamics for all the nano-hexapod stiffnesses (Figure 39).
+Finally, let’s combined all the uncertainties and display the “spread” of the plant dynamics for all the nano-hexapod stiffnesses (Figure 39).
This show how the dynamics evolves with the stiffness and how different effects enters the plant dynamics.
Figure 39: Variability of the dynamics from \(\bm{\mathcal{F}}_x\) to \(\bm{\mathcal{X}}_x\) with varying nano-hexapod stiffness
Let’s summarize the findings about the effect of the nano-hexapod’s stiffness on the plant uncertainty:
@@ -1898,11 +1898,11 @@ This corresponds to an optimal nano-hexapod leg stiffness in the range \(
Stewart platforms can be studied with:
@@ -1933,9 +1933,9 @@ As will be shown, the Nano-Hexapod geometry has an influence on:
The Kinematic analysis of the Stewart platform can be divided into two problems: the inverse kinematics and the forward kinematics.
The Jacobian matrix \(\bm{J}\) can be computed form the orientation of the legs (describes by the unit vectors \({}^A\hat{\bm{s}}_i\)) and the position of the top joints (described by the position vectors \({}^A\bm{b}_i\)) both expressed in the frame \(\{A\}\):
-Linear transformations in Eq. \eqref{eq:jacobian_L} and \eqref{eq:jacobian_F} will be widely in the developed control architectures in Section 6.
+Linear transformations in Eq. \eqref{eq:jacobian_L} and \eqref{eq:jacobian_F} will be widely in the developed control architectures in Section 6.
For a specified geometry and actuator stroke, the mobility of the Stewart platform can be estimated thanks to the approximate forward kinematic analysis.
-An example of the mobility considering only pure translations is shown in Figure 40.
+An example of the mobility considering only pure translations is shown in Figure 40.
Figure 40: Obtained mobility of a Stewart platform for pure translations (the platform’s orientation is fixed)
In order to determine the stiffness and compliance matrices of the Stewart platform, let’s model the actuators by a spring with a stiffness \(k_i\) in parallel with a force source \(\tau_i\).
Equations \eqref{eq:jacobian_L}, \eqref{eq:jacobian_F} and \eqref{eq:jacobian_K} can be used to see how the maneuverability, the force authority and the stiffness of the Stewart platform are changing with a the geometry (position of the joints and orientation of the legs).
-The effects of two changes in the manipulator’s geometry, namely the position and orientation of the legs, are summarized in Table 1.
+The effects of two changes in the manipulator’s geometry, namely the position and orientation of the legs, are summarized in Table 1.
These results could have been easily deduced based on some mechanical principles, but thanks to the kinematic analysis, they can be quantified.
3.1 Ground Motion
+3.1 Ground Motion
3.2 Stage Vibration - Effect of Control systems
+3.2 Stage Vibration - Effect of Control systems
3.3 Stage Vibration - Effect of Motion
+3.3 Stage Vibration - Effect of Motion
Spindle and Slip-Ring
-Spindle and Slip-Ring
+Translation Stage
-Translation Stage
+3.4 Open Loop noise budgeting
+3.4 Open Loop noise budgeting
3.5 Better estimation of the disturbances
+3.5 Better estimation of the disturbances
3.6 Conclusion
+3.6 Conclusion
4 Multi Body Model
+4 Multi Body Model
4.1 Multi-Body model
+4.1 Multi-Body model
4.2 Validity of the model’s dynamics
+4.2 Validity of the model’s dynamics
4.3 Wanted position of the sample and position error
+4.3 Wanted position of the sample and position error
-4.4 Simulation of a Tomography Experiment
+4.4 Simulation of a Tomography Experiment
4.5 Conclusion
+4.5 Conclusion
5 Optimal Nano-Hexapod Design
+5 Optimal Nano-Hexapod Design
-
5.1 A brief introduction to Stewart Platforms
+5.1 A brief introduction to Stewart Platforms
5.2 Optimal Stiffness to reduce the effect of disturbances
+5.2 Optimal Stiffness to reduce the effect of disturbances
Sensibility to stage vibrations
-Sensibility to stage vibrations
+Sensibility to ground motion
-Sensibility to ground motion
+Dynamic Noise Budgeting considering all the disturbances
-Dynamic Noise Budgeting considering all the disturbances
+Conclusion
-Conclusion
+5.3 Optimal Stiffness to reduce the plant uncertainty
+5.3 Optimal Stiffness to reduce the plant uncertainty
Effect of Payload
-Effect of Payload
+Effect of Micro-Station Compliance
-Effect of Micro-Station Compliance
+
Effect of Spindle Rotating Speed
-Effect of Spindle Rotating Speed
+Total Plant Uncertainty
-Total Plant Uncertainty
+Conclusion
-Conclusion
+5.4 Optimal Nano-Hexapod Geometry
+5.4 Optimal Nano-Hexapod Geometry
Kinematic Analysis
-Kinematic Analysis
+Jacobian Analysis
-Jacobian Analysis
+Mobility of the Stewart Platform
-Mobility of the Stewart Platform
+Stiffness and Compliance matrices
-Stiffness and Compliance matrices
+Effect of a change of geometry
-Effect of a change of geometry
+