568 lines
18 KiB
Matlab
568 lines
18 KiB
Matlab
%% Clear Workspace and Close figures
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clear; close all; clc;
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%% Intialize Laplace variable
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s = zpk('s');
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addpath('STEP');
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freqs = logspace(-1, 2, 1000);
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% Simscape Model - Parameters
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% <<sec:stewart_simscape>>
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open('drone_platform.slx');
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% Definition of spring parameters:
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kx = 0.5*1e3/3; % [N/m]
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ky = 0.5*1e3/3;
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kz = 1e3/3;
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cx = 0.025; % [Nm/rad]
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cy = 0.025;
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cz = 0.025;
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% We suppose the sensor is perfectly positioned.
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sens_pos_error = zeros(3,1);
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% Gravity:
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g = 0;
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% We load the Jacobian (previously computed from the geometry):
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load('jacobian.mat', 'Aa', 'Ab', 'As', 'l', 'J');
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% We initialize other parameters:
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U = eye(6);
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V = eye(6);
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Kc = tf(zeros(6));
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% #+name: fig:stewart_platform_plant
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% #+caption: Considered plant $\bm{G} = \begin{bmatrix}G_d\\G_u\end{bmatrix}$. $D_w$ is the translation/rotation of the support, $\tau$ the actuator forces, $a$ the acceleration/angular acceleration of the top platform
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% #+RESULTS:
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% [[file:figs/stewart_platform_plant.png]]
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%% Name of the Simulink File
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mdl = 'drone_platform';
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%% Input/Output definition
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clear io; io_i = 1;
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io(io_i) = linio([mdl, '/Dw'], 1, 'openinput'); io_i = io_i + 1; % Ground Motion
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io(io_i) = linio([mdl, '/V-T'], 1, 'openinput'); io_i = io_i + 1; % Actuator Forces
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io(io_i) = linio([mdl, '/Inertial Sensor'], 1, 'openoutput'); io_i = io_i + 1; % Top platform acceleration
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G = linearize(mdl, io);
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G.InputName = {'Dwx', 'Dwy', 'Dwz', 'Rwx', 'Rwy', 'Rwz', ...
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'F1', 'F2', 'F3', 'F4', 'F5', 'F6'};
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G.OutputName = {'Ax', 'Ay', 'Az', 'Arx', 'Ary', 'Arz'};
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% Plant
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Gu = G(:, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'});
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% Disturbance dynamics
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Gd = G(:, {'Dwx', 'Dwy', 'Dwz', 'Rwx', 'Rwy', 'Rwz'});
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% There are 24 states (6dof for the bottom platform + 6dof for the top platform).
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size(G)
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% #+RESULTS:
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% : State-space model with 6 outputs, 12 inputs, and 24 states.
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% The elements of the transfer matrix $\bm{G}$ corresponding to the transfer function from actuator forces $\tau$ to the measured acceleration $a$ are shown in Figure [[fig:stewart_platform_coupled_plant]].
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% One can easily see that the system is strongly coupled.
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figure;
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% Magnitude
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hold on;
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for i_in = 1:6
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for i_out = [1:i_in-1, i_in+1:6]
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plot(freqs, abs(squeeze(freqresp(Gu(i_out, i_in), freqs, 'Hz'))), 'color', [0,0,0,0.2], ...
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'HandleVisibility', 'off');
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end
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end
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plot(freqs, abs(squeeze(freqresp(Gu(i_out, i_in), freqs, 'Hz'))), 'color', [0,0,0,0.2], ...
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'DisplayName', '$G_u(i,j)\ i \neq j$');
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set(gca,'ColorOrderIndex',1)
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for i_in_out = 1:6
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plot(freqs, abs(squeeze(freqresp(Gu(i_in_out, i_in_out), freqs, 'Hz'))), 'DisplayName', sprintf('$G_u(%d,%d)$', i_in_out, i_in_out));
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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xlabel('Frequency [Hz]'); ylabel('Magnitude');
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ylim([1e-2, 1e5]);
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legend('location', 'northwest');
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% #+name: fig:plant_decouple_jacobian
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% #+caption: Decoupled plant $\bm{G}_x$ using the Jacobian matrix $J$
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% #+RESULTS:
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% [[file:figs/plant_decouple_jacobian.png]]
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% We define a new plant:
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% \[ G_x(s) = G(s) J^{-T} \]
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% $G_x(s)$ correspond to the transfer function from forces and torques applied to the top platform to the absolute acceleration of the top platform.
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Gx = Gu*inv(J');
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Gx.InputName = {'Fx', 'Fy', 'Fz', 'Mx', 'My', 'Mz'};
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% Decoupling using the SVD
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% <<sec:stewart_svd_decoupling>>
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% In order to decouple the plant using the SVD, first a real approximation of the plant transfer function matrix as the crossover frequency is required.
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% Let's compute a real approximation of the complex matrix $H_1$ which corresponds to the the transfer function $G_u(j\omega_c)$ from forces applied by the actuators to the measured acceleration of the top platform evaluated at the frequency $\omega_c$.
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wc = 2*pi*30; % Decoupling frequency [rad/s]
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H1 = evalfr(Gu, j*wc);
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% The real approximation is computed as follows:
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D = pinv(real(H1'*H1));
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H1 = inv(D*real(H1'*diag(exp(j*angle(diag(H1*D*H1.'))/2))));
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% #+caption: Real part of $G$ at the decoupling frequency $\omega_c$
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% #+RESULTS:
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% | 4.4 | -2.1 | -2.1 | 4.4 | -2.4 | -2.4 |
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% | -0.2 | -3.9 | 3.9 | 0.2 | -3.8 | 3.8 |
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% | 3.4 | 3.4 | 3.4 | 3.4 | 3.4 | 3.4 |
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% | -367.1 | -323.8 | 323.8 | 367.1 | 43.3 | -43.3 |
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% | -162.0 | -237.0 | -237.0 | -162.0 | 398.9 | 398.9 |
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% | 220.6 | -220.6 | 220.6 | -220.6 | 220.6 | -220.6 |
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% Now, the Singular Value Decomposition of $H_1$ is performed:
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% \[ H_1 = U \Sigma V^H \]
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[U,~,V] = svd(H1);
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% #+name: fig:plant_decouple_svd
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% #+caption: Decoupled plant $\bm{G}_{SVD}$ using the Singular Value Decomposition
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% #+RESULTS:
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% [[file:figs/plant_decouple_svd.png]]
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% The decoupled plant is then:
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% \[ G_{SVD}(s) = U^{-1} G_u(s) V^{-H} \]
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Gsvd = inv(U)*Gu*inv(V');
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% Verification of the decoupling using the "Gershgorin Radii"
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% <<sec:stewart_gershorin_radii>>
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% The "Gershgorin Radii" is computed for the coupled plant $G(s)$, for the "Jacobian plant" $G_x(s)$ and the "SVD Decoupled Plant" $G_{SVD}(s)$:
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% The "Gershgorin Radii" of a matrix $S$ is defined by:
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% \[ \zeta_i(j\omega) = \frac{\sum\limits_{j\neq i}|S_{ij}(j\omega)|}{|S_{ii}(j\omega)|} \]
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% This is computed over the following frequencies.
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% Gershgorin Radii for the coupled plant:
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Gr_coupled = zeros(length(freqs), size(Gu,2));
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H = abs(squeeze(freqresp(Gu, freqs, 'Hz')));
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for out_i = 1:size(Gu,2)
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Gr_coupled(:, out_i) = squeeze((sum(H(out_i,:,:)) - H(out_i,out_i,:))./H(out_i, out_i, :));
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end
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% Gershgorin Radii for the decoupled plant using SVD:
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Gr_decoupled = zeros(length(freqs), size(Gsvd,2));
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H = abs(squeeze(freqresp(Gsvd, freqs, 'Hz')));
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for out_i = 1:size(Gsvd,2)
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Gr_decoupled(:, out_i) = squeeze((sum(H(out_i,:,:)) - H(out_i,out_i,:))./H(out_i, out_i, :));
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end
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% Gershgorin Radii for the decoupled plant using the Jacobian:
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Gr_jacobian = zeros(length(freqs), size(Gx,2));
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H = abs(squeeze(freqresp(Gx, freqs, 'Hz')));
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for out_i = 1:size(Gx,2)
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Gr_jacobian(:, out_i) = squeeze((sum(H(out_i,:,:)) - H(out_i,out_i,:))./H(out_i, out_i, :));
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end
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figure;
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hold on;
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plot(freqs, Gr_coupled(:,1), 'DisplayName', 'Coupled');
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plot(freqs, Gr_decoupled(:,1), 'DisplayName', 'SVD');
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plot(freqs, Gr_jacobian(:,1), 'DisplayName', 'Jacobian');
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for in_i = 2:6
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set(gca,'ColorOrderIndex',1)
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plot(freqs, Gr_coupled(:,in_i), 'HandleVisibility', 'off');
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set(gca,'ColorOrderIndex',2)
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plot(freqs, Gr_decoupled(:,in_i), 'HandleVisibility', 'off');
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set(gca,'ColorOrderIndex',3)
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plot(freqs, Gr_jacobian(:,in_i), 'HandleVisibility', 'off');
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end
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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hold off;
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xlabel('Frequency (Hz)'); ylabel('Gershgorin Radii')
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legend('location', 'northwest');
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ylim([1e-3, 1e3]);
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% Verification of the decoupling using the "Relative Gain Array"
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% <<sec:stewart_rga>>
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% The relative gain array (RGA) is defined as:
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% \begin{equation}
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% \Lambda\big(G(s)\big) = G(s) \times \big( G(s)^{-1} \big)^T
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% \end{equation}
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% where $\times$ denotes an element by element multiplication and $G(s)$ is an $n \times n$ square transfer matrix.
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% The obtained RGA elements are shown in Figure [[fig:simscape_model_rga]].
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% Relative Gain Array for the coupled plant:
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RGA_coupled = zeros(length(freqs), size(Gu,1), size(Gu,2));
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Gu_inv = inv(Gu);
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for f_i = 1:length(freqs)
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RGA_coupled(f_i, :, :) = abs(evalfr(Gu, j*2*pi*freqs(f_i)).*evalfr(Gu_inv, j*2*pi*freqs(f_i))');
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end
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% Relative Gain Array for the decoupled plant using SVD:
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RGA_svd = zeros(length(freqs), size(Gsvd,1), size(Gsvd,2));
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Gsvd_inv = inv(Gsvd);
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for f_i = 1:length(freqs)
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RGA_svd(f_i, :, :) = abs(evalfr(Gsvd, j*2*pi*freqs(f_i)).*evalfr(Gsvd_inv, j*2*pi*freqs(f_i))');
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end
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% Relative Gain Array for the decoupled plant using the Jacobian:
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RGA_x = zeros(length(freqs), size(Gx,1), size(Gx,2));
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Gx_inv = inv(Gx);
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for f_i = 1:length(freqs)
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RGA_x(f_i, :, :) = abs(evalfr(Gx, j*2*pi*freqs(f_i)).*evalfr(Gx_inv, j*2*pi*freqs(f_i))');
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end
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figure;
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tiledlayout(1, 2, 'TileSpacing', 'None', 'Padding', 'None');
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ax1 = nexttile;
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hold on;
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for i_in = 1:6
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for i_out = [1:i_in-1, i_in+1:6]
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plot(freqs, RGA_svd(:, i_out, i_in), '--', 'color', [0 0 0 0.2], ...
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'HandleVisibility', 'off');
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end
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end
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plot(freqs, RGA_svd(:, 1, 2), '--', 'color', [0 0 0 0.2], ...
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'DisplayName', '$RGA_{SVD}(i,j),\ i \neq j$');
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plot(freqs, RGA_svd(:, 1, 1), 'k-', ...
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'DisplayName', '$RGA_{SVD}(i,i)$');
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for ch_i = 1:6
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plot(freqs, RGA_svd(:, ch_i, ch_i), 'k-', ...
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'HandleVisibility', 'off');
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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ylabel('Magnitude'); xlabel('Frequency [Hz]');
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legend('location', 'southwest');
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ax2 = nexttile;
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hold on;
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for i_in = 1:6
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for i_out = [1:i_in-1, i_in+1:6]
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plot(freqs, RGA_x(:, i_out, i_in), '--', 'color', [0 0 0 0.2], ...
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'HandleVisibility', 'off');
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end
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end
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plot(freqs, RGA_x(:, 1, 2), '--', 'color', [0 0 0 0.2], ...
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'DisplayName', '$RGA_{X}(i,j),\ i \neq j$');
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plot(freqs, RGA_x(:, 1, 1), 'k-', ...
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'DisplayName', '$RGA_{X}(i,i)$');
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for ch_i = 1:6
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plot(freqs, RGA_x(:, ch_i, ch_i), 'k-', ...
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'HandleVisibility', 'off');
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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xlabel('Frequency [Hz]'); set(gca, 'YTickLabel',[]);
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legend('location', 'southwest');
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linkaxes([ax1,ax2],'y');
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ylim([1e-5, 1e1]);
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% Obtained Decoupled Plants
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% <<sec:stewart_decoupled_plant>>
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% The bode plot of the diagonal and off-diagonal elements of $G_{SVD}$ are shown in Figure [[fig:simscape_model_decoupled_plant_svd]].
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figure;
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tiledlayout(3, 1, 'TileSpacing', 'None', 'Padding', 'None');
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% Magnitude
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ax1 = nexttile([2, 1]);
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hold on;
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for i_in = 1:6
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for i_out = [1:i_in-1, i_in+1:6]
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plot(freqs, abs(squeeze(freqresp(Gsvd(i_out, i_in), freqs, 'Hz'))), 'color', [0,0,0,0.2], ...
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'HandleVisibility', 'off');
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end
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end
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plot(freqs, abs(squeeze(freqresp(Gsvd(1, 2), freqs, 'Hz'))), 'color', [0,0,0,0.5], ...
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'DisplayName', '$G_{SVD}(i,j),\ i \neq j$');
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set(gca,'ColorOrderIndex',1)
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for ch_i = 1:6
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plot(freqs, abs(squeeze(freqresp(Gsvd(ch_i, ch_i), freqs, 'Hz'))), ...
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'DisplayName', sprintf('$G_{SVD}(%i,%i)$', ch_i, ch_i));
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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ylabel('Magnitude'); set(gca, 'XTickLabel',[]);
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legend('location', 'northwest');
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ylim([1e-1, 1e5])
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% Phase
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ax2 = nexttile;
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hold on;
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for ch_i = 1:6
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gsvd(ch_i, ch_i), freqs, 'Hz'))));
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'lin');
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ylabel('Phase [deg]'); xlabel('Frequency [Hz]');
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ylim([-180, 180]);
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yticks([-180:90:360]);
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linkaxes([ax1,ax2],'x');
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% #+name: fig:simscape_model_decoupled_plant_svd
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% #+caption: Decoupled Plant using SVD
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% #+RESULTS:
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% [[file:figs/simscape_model_decoupled_plant_svd.png]]
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% Similarly, the bode plots of the diagonal elements and off-diagonal elements of the decoupled plant $G_x(s)$ using the Jacobian are shown in Figure [[fig:simscape_model_decoupled_plant_jacobian]].
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figure;
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tiledlayout(3, 1, 'TileSpacing', 'None', 'Padding', 'None');
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% Magnitude
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ax1 = nexttile([2, 1]);
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hold on;
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for i_in = 1:6
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for i_out = [1:i_in-1, i_in+1:6]
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plot(freqs, abs(squeeze(freqresp(Gx(i_out, i_in), freqs, 'Hz'))), 'color', [0,0,0,0.2], ...
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'HandleVisibility', 'off');
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end
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end
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plot(freqs, abs(squeeze(freqresp(Gx(1, 2), freqs, 'Hz'))), 'color', [0,0,0,0.5], ...
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'DisplayName', '$G_x(i,j),\ i \neq j$');
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set(gca,'ColorOrderIndex',1)
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plot(freqs, abs(squeeze(freqresp(Gx('Ax', 'Fx'), freqs, 'Hz'))), 'DisplayName', '$G_x(1,1) = A_x/F_x$');
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plot(freqs, abs(squeeze(freqresp(Gx('Ay', 'Fy'), freqs, 'Hz'))), 'DisplayName', '$G_x(2,2) = A_y/F_y$');
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plot(freqs, abs(squeeze(freqresp(Gx('Az', 'Fz'), freqs, 'Hz'))), 'DisplayName', '$G_x(3,3) = A_z/F_z$');
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plot(freqs, abs(squeeze(freqresp(Gx('Arx', 'Mx'), freqs, 'Hz'))), 'DisplayName', '$G_x(4,4) = A_{R_x}/M_x$');
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plot(freqs, abs(squeeze(freqresp(Gx('Ary', 'My'), freqs, 'Hz'))), 'DisplayName', '$G_x(5,5) = A_{R_y}/M_y$');
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plot(freqs, abs(squeeze(freqresp(Gx('Arz', 'Mz'), freqs, 'Hz'))), 'DisplayName', '$G_x(6,6) = A_{R_z}/M_z$');
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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ylabel('Magnitude'); set(gca, 'XTickLabel',[]);
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legend('location', 'northwest');
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ylim([1e-2, 2e6])
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% Phase
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ax2 = nexttile;
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hold on;
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Ax', 'Fx'), freqs, 'Hz'))));
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Ay', 'Fy'), freqs, 'Hz'))));
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Az', 'Fz'), freqs, 'Hz'))));
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Arx', 'Mx'), freqs, 'Hz'))));
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Ary', 'My'), freqs, 'Hz'))));
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gx('Arz', 'Mz'), freqs, 'Hz'))));
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'lin');
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ylabel('Phase [deg]'); xlabel('Frequency [Hz]');
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ylim([0, 180]);
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yticks([0:45:360]);
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linkaxes([ax1,ax2],'x');
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% #+name: fig:svd_control
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% #+caption: Control Diagram for the SVD control
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% #+RESULTS:
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% [[file:figs/svd_control.png]]
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% We choose the controller to be a low pass filter:
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% \[ K_c(s) = \frac{G_0}{1 + \frac{s}{\omega_0}} \]
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% $G_0$ is tuned such that the crossover frequency corresponding to the diagonal terms of the loop gain is equal to $\omega_c$
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wc = 2*pi*80; % Crossover Frequency [rad/s]
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w0 = 2*pi*0.1; % Controller Pole [rad/s]
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K_cen = diag(1./diag(abs(evalfr(Gx, j*wc))))*(1/abs(evalfr(1/(1 + s/w0), j*wc)))/(1 + s/w0);
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L_cen = K_cen*Gx;
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G_cen = feedback(G, pinv(J')*K_cen, [7:12], [1:6]);
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K_svd = diag(1./diag(abs(evalfr(Gsvd, j*wc))))*(1/abs(evalfr(1/(1 + s/w0), j*wc)))/(1 + s/w0);
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L_svd = K_svd*Gsvd;
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G_svd = feedback(G, inv(V')*K_svd*inv(U), [7:12], [1:6]);
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% The obtained diagonal elements of the loop gains are shown in Figure [[fig:stewart_comp_loop_gain_diagonal]].
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figure;
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tiledlayout(3, 1, 'TileSpacing', 'None', 'Padding', 'None');
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% Magnitude
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ax1 = nexttile([2, 1]);
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hold on;
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plot(freqs, abs(squeeze(freqresp(L_svd(1, 1), freqs, 'Hz'))), 'DisplayName', '$L_{SVD}(i,i)$');
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for i_in_out = 2:6
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set(gca,'ColorOrderIndex',1)
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plot(freqs, abs(squeeze(freqresp(L_svd(i_in_out, i_in_out), freqs, 'Hz'))), 'HandleVisibility', 'off');
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end
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set(gca,'ColorOrderIndex',2)
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plot(freqs, abs(squeeze(freqresp(L_cen(1, 1), freqs, 'Hz'))), ...
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'DisplayName', '$L_{J}(i,i)$');
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for i_in_out = 2:6
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set(gca,'ColorOrderIndex',2)
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plot(freqs, abs(squeeze(freqresp(L_cen(i_in_out, i_in_out), freqs, 'Hz'))), 'HandleVisibility', 'off');
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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ylabel('Magnitude'); set(gca, 'XTickLabel',[]);
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legend('location', 'northwest');
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ylim([5e-2, 2e3])
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% Phase
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ax2 = nexttile;
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hold on;
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for i_in_out = 1:6
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set(gca,'ColorOrderIndex',1)
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plot(freqs, 180/pi*angle(squeeze(freqresp(L_svd(i_in_out, i_in_out), freqs, 'Hz'))));
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end
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set(gca,'ColorOrderIndex',2)
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for i_in_out = 1:6
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set(gca,'ColorOrderIndex',2)
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plot(freqs, 180/pi*angle(squeeze(freqresp(L_cen(i_in_out, i_in_out), freqs, 'Hz'))));
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end
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hold off;
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set(gca, 'XScale', 'log'); set(gca, 'YScale', 'lin');
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ylabel('Phase [deg]'); xlabel('Frequency [Hz]');
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ylim([-180, 180]);
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yticks([-180:90:360]);
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linkaxes([ax1,ax2],'x');
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% Closed-Loop system Performances
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% <<sec:stewart_closed_loop_results>>
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% Let's first verify the stability of the closed-loop systems:
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isstable(G_cen)
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% #+RESULTS:
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% : ans =
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% : logical
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% : 1
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isstable(G_svd)
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% #+RESULTS:
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% : ans =
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% : logical
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% : 1
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% The obtained transmissibility in Open-loop, for the centralized control as well as for the SVD control are shown in Figure [[fig:stewart_platform_simscape_cl_transmissibility]].
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figure;
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tiledlayout(2, 2, 'TileSpacing', 'None', 'Padding', 'None');
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ax1 = nexttile;
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hold on;
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plot(freqs, abs(squeeze(freqresp(G( 'Ax', 'Dwx')/s^2, freqs, 'Hz'))), 'DisplayName', 'Open-Loop');
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plot(freqs, abs(squeeze(freqresp(G_cen('Ax', 'Dwx')/s^2, freqs, 'Hz'))), 'DisplayName', 'Centralized');
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plot(freqs, abs(squeeze(freqresp(G_svd('Ax', 'Dwx')/s^2, freqs, 'Hz'))), '--', 'DisplayName', 'SVD');
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set(gca,'ColorOrderIndex',1)
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plot(freqs, abs(squeeze(freqresp(G( 'Ay', 'Dwy')/s^2, freqs, 'Hz'))), 'HandleVisibility', 'off');
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plot(freqs, abs(squeeze(freqresp(G_cen('Ay', 'Dwy')/s^2, freqs, 'Hz'))), 'HandleVisibility', 'off');
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plot(freqs, abs(squeeze(freqresp(G_svd('Ay', 'Dwy')/s^2, freqs, 'Hz'))), '--', 'HandleVisibility', 'off');
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|
hold off;
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|
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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|
ylabel('$D_x/D_{w,x}$, $D_y/D_{w, y}$'); set(gca, 'XTickLabel',[]);
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|
legend('location', 'southwest');
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ax2 = nexttile;
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hold on;
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|
plot(freqs, abs(squeeze(freqresp(G( 'Az', 'Dwz')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_cen('Az', 'Dwz')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_svd('Az', 'Dwz')/s^2, freqs, 'Hz'))), '--');
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|
hold off;
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|
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
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|
ylabel('$D_z/D_{w,z}$'); set(gca, 'XTickLabel',[]);
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ax3 = nexttile;
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|
hold on;
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plot(freqs, abs(squeeze(freqresp(G( 'Arx', 'Rwx')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_cen('Arx', 'Rwx')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_svd('Arx', 'Rwx')/s^2, freqs, 'Hz'))), '--');
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|
set(gca,'ColorOrderIndex',1)
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|
plot(freqs, abs(squeeze(freqresp(G( 'Ary', 'Rwy')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_cen('Ary', 'Rwy')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_svd('Ary', 'Rwy')/s^2, freqs, 'Hz'))), '--');
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|
hold off;
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|
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
|
|
ylabel('$R_x/R_{w,x}$, $R_y/R_{w,y}$'); xlabel('Frequency [Hz]');
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|
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|
ax4 = nexttile;
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|
hold on;
|
|
plot(freqs, abs(squeeze(freqresp(G( 'Arz', 'Rwz')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_cen('Arz', 'Rwz')/s^2, freqs, 'Hz'))));
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plot(freqs, abs(squeeze(freqresp(G_svd('Arz', 'Rwz')/s^2, freqs, 'Hz'))), '--');
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|
hold off;
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|
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
|
|
ylabel('$R_z/R_{w,z}$'); xlabel('Frequency [Hz]');
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|
|
|
linkaxes([ax1,ax2,ax3,ax4],'xy');
|
|
xlim([freqs(1), freqs(end)]);
|
|
ylim([1e-3, 1e2]);
|