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Table of Contents

-
-

1 Gravimeter - Simscape Model

+
+

1 Gravimeter - Simscape Model

-
-

1.1 Simscape Model - Parameters

+
+

1.1 Simscape Model - Parameters

open('gravimeter.slx')
@@ -94,11 +94,11 @@
 Parameters
 

-
l  = 0.5; % Length of the mass [m]
-la = 0.5; % Position of Act. [m]
+
l  = 0.5/2; % Length of the mass [m]
+la = 0.5/2; % Position of Act. [m]
 
-h  = 1.7; % Height of the mass [m]
-ha = 1.7; % Position of Act. [m]
+h  = 1.7/2; % Height of the mass [m]
+ha = 1.7/2; % Position of Act. [m]
 
 m = 400; % Mass [kg]
 I = 115; % Inertia [kg m^2]
@@ -114,8 +114,8 @@ g = 0; % Gravity [m/s2]
 
-
-

1.2 System Identification - Without Gravity

+
+

1.2 System Identification - Without Gravity

%% Name of the Simulink File
@@ -140,12 +140,12 @@ G.OutputName = {'Ax1', 'Az1', 'Ax2', 'Az2'};
 
 pole(G)
 ans =
-      -0.000473481142385801 +      21.7596190728632i
-      -0.000473481142385801 -      21.7596190728632i
-      -7.49842879459177e-05 +       8.6593576906982i
-      -7.49842879459177e-05 -       8.6593576906982i
-      -5.15386867925747e-06 +      2.27025295182755i
-      -5.15386867925747e-06 -      2.27025295182755i
+      -0.000143694057817022 +      11.9872485389527i
+      -0.000143694057817022 -      11.9872485389527i
+      -7.49842879371933e-05 +      8.65931816830372i
+      -7.49842879371933e-05 -      8.65931816830372i
+      -4.25202990156283e-06 +      2.06202312114216i
+      -4.25202990156283e-06 -      2.06202312114216i
 

@@ -162,7 +162,7 @@ State-space model with 4 outputs, 3 inputs, and 6 states. -

+

open_loop_tf.png

Figure 1: Open Loop Transfer Function from 3 Actuators to 4 Accelerometers

@@ -170,8 +170,8 @@ State-space model with 4 outputs, 3 inputs, and 6 states.
-
-

1.3 System Identification - With Gravity

+
+

1.3 System Identification - With Gravity

g = 9.80665; % Gravity [m/s2]
@@ -189,18 +189,18 @@ Gg.OutputName = {'Ax1', 'Az1', 'Ax2', 'Az2'};
 We can now see that the system is unstable due to gravity.
 

-pole(G)
+pole(Gg)
 ans =
-          -10.9848275341276 +                     0i
-           10.9838836405193 +                     0i
-      -7.49855396089326e-05 +      8.65962885769976i
-      -7.49855396089326e-05 -      8.65962885769976i
-      -6.68819341967921e-06 +      0.83296042226902i
-      -6.68819341967921e-06 -      0.83296042226902i
+      -7.49842906813125e-05 +       8.6594885739673i
+      -7.49842906813125e-05 -       8.6594885739673i
+           7.08960832564352 +                     0i
+          -7.08989438800737 +                     0i
+           1.70627135943515 +                     0i
+          -1.70628118924799 +                     0i
 
-
+

open_loop_tf_g.png

Figure 2: Open Loop Transfer Function from 3 Actuators to 4 Accelerometers with an without gravity

@@ -208,12 +208,12 @@ ans =
-
-

1.4 Analytical Model

+
+

1.4 Analytical Model

-
-

1.4.1 Parameters

+
+

1.4.1 Parameters

Control parameters @@ -273,8 +273,8 @@ Frequency vector.

-
-

1.4.2 generation of the state space model

+
+

1.4.2 generation of the state space model

M = [m 0 0
@@ -343,11 +343,11 @@ State-space model with 12 outputs, 6 inputs, and 6 states.
 
-
-

1.4.3 Comparison with the Simscape Model

+
+

1.4.3 Comparison with the Simscape Model

-
+

gravimeter_analytical_system_open_loop_models.png

Figure 3: Comparison of the analytical and the Simscape models

@@ -355,8 +355,8 @@ State-space model with 12 outputs, 6 inputs, and 6 states.
-
-

1.4.4 Analysis

+
+

1.4.4 Analysis

% figure
@@ -424,8 +424,8 @@ State-space model with 12 outputs, 6 inputs, and 6 states.
 
-
-

1.4.5 Control Section

+
+

1.4.5 Control Section

system_dec_10Hz = freqresp(system_dec,2*pi*10);
@@ -565,8 +565,8 @@ legend('Control OFF','Decentralized control','Centralized control','SVD control'
 
-
-

1.4.6 Greshgorin radius

+
+

1.4.6 Greshgorin radius

system_dec_freq = freqresp(system_dec,w);
@@ -612,8 +612,8 @@ ylabel('Greshgorin radius [-]');
 
-
-

1.4.7 Injecting ground motion in the system to have the output

+
+

1.4.7 Injecting ground motion in the system to have the output

Fr = logspace(-2,3,1e3);
@@ -669,15 +669,15 @@ rot = PHI(:,11,11);
 
-
-

2 Gravimeter - Functions

+
+

2 Gravimeter - Functions

-
-

2.1 align

+
+

2.1 align

- +

@@ -706,11 +706,11 @@ end

-
-

2.2 pzmap_testCL

+
+

2.2 pzmap_testCL

- +

@@ -759,12 +759,12 @@ end

-
-

3 Stewart Platform - Simscape Model

+
+

3 Stewart Platform - Simscape Model

-
-

3.1 Jacobian

+
+

3.1 Jacobian

First, the position of the “joints” (points of force application) are estimated and the Jacobian computed. @@ -806,8 +806,8 @@ save('./jacobian.mat', 'Aa', 'Ab', 'As', 'l', 'J');

-
-

3.2 Simscape Model

+
+

3.2 Simscape Model

open('stewart_platform/drone_platform.slx');
@@ -838,8 +838,8 @@ We load the Jacobian.
 
-
-

3.3 Identification of the plant

+
+

3.3 Identification of the plant

The dynamics is identified from forces applied by each legs to the measured acceleration of the top platform. @@ -896,32 +896,32 @@ Gl.OutputName = {'A1', 'A2', 'A3', 'A4', 'A5', 'A6'};

-
-

3.4 Obtained Dynamics

+
+

3.4 Obtained Dynamics

-
+

stewart_platform_translations.png

Figure 4: Stewart Platform Plant from forces applied by the legs to the acceleration of the platform

-
+

stewart_platform_rotations.png

Figure 5: Stewart Platform Plant from torques applied by the legs to the angular acceleration of the platform

-
+

stewart_platform_legs.png

Figure 6: Stewart Platform Plant from forces applied by the legs to displacement of the legs

-
+

stewart_platform_transmissibility.png

Figure 7: Transmissibility

@@ -929,8 +929,8 @@ Gl.OutputName = {'A1', 'A2', 'A3', 'A4', 'A5', 'A6'};
-
-

3.5 Real Approximation of \(G\) at the decoupling frequency

+
+

3.5 Real Approximation of \(G\) at the decoupling frequency

Let’s compute a real approximation of the complex matrix \(H_1\) which corresponds to the the transfer function \(G_c(j\omega_c)\) from forces applied by the actuators to the measured acceleration of the top platform evaluated at the frequency \(\omega_c\). @@ -956,8 +956,8 @@ H1 = inv(D*real(H1'*diag(exp(j*angle(diag(H1*D*H1.'))/2))));

-
-

3.6 Verification of the decoupling using the “Gershgorin Radii”

+
+

3.6 Verification of the decoupling using the “Gershgorin Radii”

First, the Singular Value Decomposition of \(H_1\) is performed: @@ -1025,7 +1025,7 @@ end

-
+

simscape_model_gershgorin_radii.png

Figure 8: Gershgorin Radii of the Coupled and Decoupled plants

@@ -1033,8 +1033,8 @@ end
-
-

3.7 Decoupled Plant

+
+

3.7 Decoupled Plant

Let’s see the bode plot of the decoupled plant \(G_d(s)\). @@ -1042,14 +1042,14 @@ Let’s see the bode plot of the decoupled plant \(G_d(s)\).

-
+

simscape_model_decoupled_plant_svd.png

Figure 9: Decoupled Plant using SVD

-
+

simscape_model_decoupled_plant_jacobian.png

Figure 10: Decoupled Plant using the Jacobian

@@ -1057,8 +1057,8 @@ Let’s see the bode plot of the decoupled plant \(G_d(s)\).
-
-

3.8 Diagonal Controller

+
+

3.8 Diagonal Controller

The controller \(K\) is a diagonal controller consisting a low pass filters with a crossover frequency \(\omega_c\) and a DC gain \(C_g\). @@ -1074,8 +1074,8 @@ K = eye(6)*C_g/(s+wc);

-
-

3.9 Centralized Control

+
+

3.9 Centralized Control

The control diagram for the centralized control is shown below. @@ -1099,8 +1099,8 @@ The Jacobian is used to convert forces in the cartesian frame to forces applied

-
-

3.10 SVD Control

+
+

3.10 SVD Control

The SVD control architecture is shown below. @@ -1123,8 +1123,8 @@ SVD Control

-
-

3.11 Results

+
+

3.11 Results

Let’s first verify the stability of the closed-loop systems: @@ -1154,11 +1154,11 @@ ans =

-The obtained transmissibility in Open-loop, for the centralized control as well as for the SVD control are shown in Figure 13. +The obtained transmissibility in Open-loop, for the centralized control as well as for the SVD control are shown in Figure 13.

-
+

stewart_platform_simscape_cl_transmissibility.png

Figure 13: Obtained Transmissibility

@@ -1169,7 +1169,7 @@ The obtained transmissibility in Open-loop, for the centralized control as well

Author: Dehaeze Thomas

-

Created: 2020-09-30 mer. 17:21

+

Created: 2020-10-02 ven. 09:48

diff --git a/index.org b/index.org index 392cc24..4b064c2 100644 --- a/index.org +++ b/index.org @@ -67,11 +67,11 @@ Parameters #+begin_src matlab - l = 0.5; % Length of the mass [m] - la = 0.5; % Position of Act. [m] + l = 0.5/2; % Length of the mass [m] + la = 0.5/2; % Position of Act. [m] - h = 1.7; % Height of the mass [m] - ha = 1.7; % Position of Act. [m] + h = 1.7/2; % Height of the mass [m] + ha = 1.7/2; % Position of Act. [m] m = 400; % Mass [kg] I = 115; % Inertia [kg m^2] @@ -112,12 +112,12 @@ Parameters #+begin_example pole(G) ans = - -0.000473481142385801 + 21.7596190728632i - -0.000473481142385801 - 21.7596190728632i - -7.49842879459177e-05 + 8.6593576906982i - -7.49842879459177e-05 - 8.6593576906982i - -5.15386867925747e-06 + 2.27025295182755i - -5.15386867925747e-06 - 2.27025295182755i + -0.000143694057817022 + 11.9872485389527i + -0.000143694057817022 - 11.9872485389527i + -7.49842879371933e-05 + 8.65931816830372i + -7.49842879371933e-05 - 8.65931816830372i + -4.25202990156283e-06 + 2.06202312114216i + -4.25202990156283e-06 - 2.06202312114216i #+end_example The plant as 6 states as expected (2 translations + 1 rotation) @@ -168,14 +168,14 @@ We can now see that the system is unstable due to gravity. #+RESULTS: #+begin_example -pole(G) +pole(Gg) ans = - -10.9848275341276 + 0i - 10.9838836405193 + 0i - -7.49855396089326e-05 + 8.65962885769976i - -7.49855396089326e-05 - 8.65962885769976i - -6.68819341967921e-06 + 0.83296042226902i - -6.68819341967921e-06 - 0.83296042226902i + -7.49842906813125e-05 + 8.6594885739673i + -7.49842906813125e-05 - 8.6594885739673i + 7.08960832564352 + 0i + -7.08989438800737 + 0i + 1.70627135943515 + 0i + -1.70628118924799 + 0i #+end_example #+begin_src matlab :exports none

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