diff --git a/uniaxial/index.html b/uniaxial/index.html index 4514141..1af0916 100644 --- a/uniaxial/index.html +++ b/uniaxial/index.html @@ -3,7 +3,7 @@ "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
- +-A schematic of the uniaxial model used for simulations is represented in figure 1. +A schematic of the uniaxial model used for simulations is represented in figure 1.
@@ -412,7 +412,7 @@ The control signal \(u\) is: -
Figure 1: Schematic of the uniaxial model used
@@ -421,11 +421,11 @@ The control signal \(u\) is:Few active damping techniques will be compared in order to decide which sensor is to be included in the system. -Schematics of the active damping techniques are displayed in figure 2. +Schematics of the active damping techniques are displayed in figure 2.
-
Figure 2: Comparison of used active damping techniques
@@ -433,18 +433,18 @@ Schematics of the active damping techniques are displayed in figure -We initialize all the stages with the default parameters. @@ -456,8 +456,8 @@ All the controllers are set to 0 (Open Loop).
We identify the dynamics of the system. @@ -520,19 +520,19 @@ Finally, we save the identified system dynamics for further analysis.
We show several plots representing the sensitivity to disturbances:
Figure 3: Sensitivity to disturbances (png, pdf)
@@ -540,7 +540,7 @@ We show several plots representing the sensitivity to disturbances: -We first load the measured PSD of the disturbance. @@ -561,12 +561,12 @@ We first load the measured PSD of the disturbance.
The effect of these disturbances on the distance \(D\) is computed below. -The PSD of the obtain distance \(D\) due to each of the perturbation is shown in figure 5 and the Cumulative Amplitude Spectrum is shown in figure 6. +The PSD of the obtain distance \(D\) due to each of the perturbation is shown in figure 5 and the Cumulative Amplitude Spectrum is shown in figure 6.
-The Root Mean Square value of the obtained displacement \(D\) is computed below and can be determined from the figure 6. +The Root Mean Square value of the obtained displacement \(D\) is computed below and can be determined from the figure 6.
3.3793e-06 @@ -574,32 +574,32 @@ The Root Mean Square value of the obtained displacement \(D\) is computed below -+ ---2.5 Plant
++2.5 Plant
-The transfer function from the force \(F\) applied by the nano-hexapod to the position of the sample \(D\) is shown in figure 7. +The transfer function from the force \(F\) applied by the nano-hexapod to the position of the sample \(D\) is shown in figure 7. It corresponds to the plant to control.
-+--3 Integral Force Feedback
++3 Integral Force Feedback
-+-
Figure 8: Uniaxial IFF Control Schematic
-3.1 Control Design
++3.1 Control Design
load('./uniaxial/mat/plants.mat', 'G'); @@ -634,7 +634,7 @@ Let's look at the transfer function from actuator forces in the nano-hexapod to -+-
Figure 9: Transfer function from forces applied in the legs to force sensor (png, pdf)
@@ -649,7 +649,7 @@ The controller for each pair of actuator/sensor is:+--3.2 Identification
++3.2 Identification
-Let's initialize the system prior to identification. @@ -741,18 +741,18 @@ G_iff.OutputName = {
-3.3 Sensitivity to Disturbance
++3.3 Sensitivity to Disturbance
-+ -+-
Figure 12: Sensitivity to force disturbances in various stages when IFF is applied (png, pdf)
@@ -760,11 +760,11 @@ G_iff.OutputName = {-3.4 Damped Plant
++3.4 Damped Plant
-+ --3.5 Conclusion
++3.5 Conclusion
-@@ -785,25 +785,25 @@ Integral Force Feedback:
-4 Relative Motion Control
++4 Relative Motion Control
In the Relative Motion Control (RMC), a derivative feedback is applied between the measured actuator displacement to the actuator force input.
-+-
Figure 14: Uniaxial RMC Control Schematic
-4.1 Control Design
++4.1 Control Design
load('./uniaxial/mat/plants.mat', 'G'); @@ -815,7 +815,7 @@ Let's look at the transfer function from actuator forces in the nano-hexapod to -+-
Figure 15: Transfer function from forces applied in the legs to leg displacement sensor (png, pdf)
@@ -831,7 +831,7 @@ A Low pass Filter is added to make the controller transfer function proper.+--4.2 Identification
++4.2 Identification
Let's initialize the system prior to identification. @@ -924,18 +924,18 @@ G_rmc.OutputName = { -
-4.3 Sensitivity to Disturbance
++4.3 Sensitivity to Disturbance
-+ -+-
Figure 18: Sensitivity to force disturbances in various stages when RMC is applied (png, pdf)
@@ -943,11 +943,11 @@ G_rmc.OutputName = {-4.4 Damped Plant
++4.4 Damped Plant
-+ --4.5 Conclusion
++4.5 Conclusion
-@@ -968,25 +968,25 @@ Relative Motion Control:
-5 Direct Velocity Feedback
++5 Direct Velocity Feedback
In the Relative Motion Control (RMC), a feedback is applied between the measured velocity of the platform to the actuator force input.
-+-
Figure 20: Uniaxial DVF Control Schematic
-5.1 Control Design
++5.1 Control Design
-load('./uniaxial/mat/plants.mat', 'G'); @@ -994,7 +994,7 @@ In the Relative Motion Control (RMC), a feedback is applied between the measured+-
Figure 21: Transfer function from forces applied in the legs to leg velocity sensor (png, pdf)
@@ -1006,7 +1006,7 @@ In the Relative Motion Control (RMC), a feedback is applied between the measured+--5.2 Identification
++5.2 Identification
-Let's initialize the system prior to identification. @@ -1098,18 +1098,18 @@ G_dvf.OutputName = {
-5.3 Sensitivity to Disturbance
++5.3 Sensitivity to Disturbance
-+ -+-
Figure 24: Sensitivity to force disturbances in various stages when DVF is applied (png, pdf)
@@ -1117,11 +1117,11 @@ G_dvf.OutputName = {-5.4 Damped Plant
++5.4 Damped Plant
-+ --5.5 Conclusion
++-5.5 Conclusion
@@ -1141,25 +1141,25 @@ Direct Velocity Feedback:
-6 With Cedrat Piezo-electric Actuators
++6 With Cedrat Piezo-electric Actuators
-The model used for the Cedrat actuator is shown in figure 26. +The model used for the Cedrat actuator is shown in figure 26.
-+-
Figure 26: Schematic of the model used for the Cedrat Actuator
-6.1 Identification
++6.1 Identification
-Let's initialize the system prior to identification. @@ -1247,15 +1247,15 @@ G.OutputName = {
-6.2 Control Design
++6.2 Control Design
Let's look at the transfer function from actuator forces in the nano-hexapod to the force sensor in the nano-hexapod legs for all 6 pairs of actuator/sensor.
-+-
Figure 27: Transfer function from forces applied in the legs to force sensor (png, pdf)
@@ -1270,7 +1270,7 @@ The controller for each pair of actuator/sensor is:+--6.3 Identification
++6.3 Identification
-Let's initialize the system prior to identification. @@ -1363,18 +1363,18 @@ G_cedrat.OutputName = {
-6.4 Sensitivity to Disturbance
++6.4 Sensitivity to Disturbance
-+-
Figure 29: Sensitivity to disturbance once the CEDRAT controller is applied to the system (png, pdf)
+-
Figure 30: Sensitivity to force disturbances in various stages when CEDRAT is applied (png, pdf)
@@ -1382,11 +1382,11 @@ G_cedrat.OutputName = {-6.5 Damped Plant
++6.5 Damped Plant
-+-
Figure 31: Damped Plant after CEDRAT is applied (png, pdf)
@@ -1394,8 +1394,8 @@ G_cedrat.OutputName = {-6.6 Conclusion
++6.6 Conclusion
-@@ -1407,15 +1407,15 @@ This gives similar results than with a classical force sensor.
-7 Comparison of Active Damping Techniques
++7 Comparison of Active Damping Techniques
--7.1 Load the plants
++7.1 Load the plants
-load('./uniaxial/mat/plants.mat', 'G', 'G_iff', 'G_rmc', 'G_dvf'); @@ -1424,11 +1424,11 @@ This gives similar results than with a classical force sensor.-7.2 Sensitivity to Disturbance
++7.2 Sensitivity to Disturbance
-+
Figure 32: Sensitivity to Ground Motion - Comparison (png, pdf)
@@ -1436,21 +1436,21 @@ This gives similar results than with a classical force sensor. -+ -+ -+--7.3 Noise Budget
++7.3 Noise Budget
We first load the measured PSD of the disturbance. @@ -1471,10 +1471,10 @@ We first load the measured PSD of the disturbance.
The effect of these disturbances on the distance \(D\) is computed for all active damping techniques. -We then compute the Cumulative Amplitude Spectrum (figure 36). +We then compute the Cumulative Amplitude Spectrum (figure 36).
-+
Figure 36: Comparison of the Cumulative Amplitude Spectrum of \(D\) for different active damping techniques (png, pdf)
@@ -1483,7 +1483,7 @@ We then compute the Cumulative Amplitude Spectrum (figureThe obtained Root Mean Square Value for each active damping technique is shown below.
-+
Table 1: Obtain Root Mean Square value of \(D\) for each Active Damping Technique applied @@ -1526,11 +1526,11 @@ It is important to note that the effect of direct forces applied to the sample a - -7.4 Damped Plant
++7.4 Damped Plant
-+--7.5 Conclusion
++7.5 Conclusion
-+
Table 2: Comparison of proposed active damping techniques @@ -1608,15 +1608,15 @@ It is important to note that the effect of direct forces applied to the sample a - -8 Voice Coil
++8 Voice Coil
--8.1 Init
++-8.1 Init
We initialize all the stages with the default parameters. @@ -1628,8 +1628,8 @@ All the controllers are set to 0 (Open Loop).
-8.2 Identification
++-8.2 Identification
We identify the dynamics of the system. @@ -1692,8 +1692,8 @@ Finally, we save the identified system dynamics for further analysis.
-8.3 Sensitivity to Disturbances
++8.3 Sensitivity to Disturbances
We load the dynamics when using a piezo-electric nano hexapod to compare the results. @@ -1707,19 +1707,19 @@ We load the dynamics when using a piezo-electric nano hexapod to compare the res We show several plots representing the sensitivity to disturbances:
-
-- in figure 38 the transfer functions from ground motion \(D_w\) to the sample position \(D\) and the transfer function from direct force on the sample \(F_s\) to the sample position \(D\) are shown
-- in figure 39, it is the effect of parasitic forces of the positioning stages (\(F_{ty}\) and \(F_{rz}\)) on the position \(D\) of the sample that are shown
+- in figure 38 the transfer functions from ground motion \(D_w\) to the sample position \(D\) and the transfer function from direct force on the sample \(F_s\) to the sample position \(D\) are shown
+- in figure 39, it is the effect of parasitic forces of the positioning stages (\(F_{ty}\) and \(F_{rz}\)) on the position \(D\) of the sample that are shown
+ -+--8.4 Noise Budget
++8.4 Noise Budget
We first load the measured PSD of the disturbance. @@ -1740,11 +1740,11 @@ We first load the measured PSD of the disturbance.
The effect of these disturbances on the distance \(D\) is computed below. -The PSD of the obtain distance \(D\) due to each of the perturbation is shown in figure 40 and the Cumulative Amplitude Spectrum is shown in figure 41. +The PSD of the obtain distance \(D\) due to each of the perturbation is shown in figure 40 and the Cumulative Amplitude Spectrum is shown in figure 41.
-The Root Mean Square value of the obtained displacement \(D\) is computed below and can be determined from the figure 41. +The Root Mean Square value of the obtained displacement \(D\) is computed below and can be determined from the figure 41.
4.8793e-06 @@ -1752,14 +1752,14 @@ The Root Mean Square value of the obtained displacement \(D\) is computed below -+ ---8.5 Integral Force Feedback
++8.5 Integral Force Feedback
-K_iff = -20/s; @@ -1786,7 +1786,7 @@ Thus, it may be desirable to use voice coil actuators.+--8.6 Identification of the Damped Plant
++8.6 Identification of the Damped Plant
-Let's initialize the system prior to identification. @@ -1873,14 +1873,14 @@ G_vc_iff.OutputName = {
-8.7 Noise Budget
++8.7 Noise Budget
We compute the obtain PSD of the displacement \(D\) when using IFF.
-+--8.8 Conclusion
++8.8 Conclusion
diff --git a/uniaxial/index.org b/uniaxial/index.org index 48c6226..074d1c3 100644 --- a/uniaxial/index.org +++ b/uniaxial/index.org @@ -825,7 +825,7 @@ The Root Mean Square value of the obtained displacement $D$ is computed below an plot(dist_f.f, psd_rz_d, 'DisplayName', '$R_z$'); hold off; set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log'); - ylabel('CAS of the effect of disturbances on $D$ $\left[\frac{m^2}{Hz}\right]$'); xlabel('Frequency [Hz]'); + ylabel('PSD of the effect of disturbances on $D$ $\left[\frac{m^2}{Hz}\right]$'); xlabel('Frequency [Hz]'); legend('location', 'northeast') xlim([0.5, 500]); #+end_src @@ -836,7 +836,7 @@ The Root Mean Square value of the obtained displacement $D$ is computed below an #+end_src #+NAME: fig:uniaxial-psd-dist -#+CAPTION: caption ([[./figs/uniaxial-psd-dist.png][png]], [[./figs/uniaxial-psd-dist.pdf][pdf]]) +#+CAPTION: PSD of the effect of disturbances on $D$ ([[./figs/uniaxial-psd-dist.png][png]], [[./figs/uniaxial-psd-dist.pdf][pdf]]) [[file:figs/uniaxial-psd-dist.png]] @@ -862,7 +862,7 @@ The Root Mean Square value of the obtained displacement $D$ is computed below an #+end_src #+NAME: fig:uniaxial-cas-dist -#+CAPTION: caption ([[./figs/uniaxial-cas-dist.png][png]], [[./figs/uniaxial-cas-dist.pdf][pdf]]) +#+CAPTION: CAS of the effect of disturbances on $D$ ([[./figs/uniaxial-cas-dist.png][png]], [[./figs/uniaxial-cas-dist.pdf][pdf]]) [[file:figs/uniaxial-cas-dist.png]] ** Plant -@@ -1907,7 +1907,7 @@ Similarly, it would require much lower bandwidth to attain the same level of dis