221 lines
8.0 KiB
Matlab
221 lines
8.0 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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%% Path for functions, data and scripts
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addpath('./mat/'); % Path for data
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addpath('./src/'); % Path for Functions
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%% Colors for the figures
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colors = colororder;
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%% Simscape model name
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mdl = 'rotating_model';
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% System Poles: Campbell Diagram
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% The poles of $\mathbf{G}_d$ are the complex solutions $p$ of equation eqref:eq:poles.
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% #+name: eq:poles
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% \begin{equation}
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% \left( \frac{p^2}{{\omega_0}^2} + 2 \xi \frac{p}{\omega_0} + 1 - \frac{{\Omega}^2}{{\omega_0}^2} \right)^2 + \left( 2 \frac{\Omega}{\omega_0} \frac{p}{\omega_0} \right)^2 = 0
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% \end{equation}
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% Supposing small damping ($\xi \ll 1$), two pairs of complex conjugate poles are obtained as shown in equation eqref:eq:pole_values.
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% #+name: eq:pole_values
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% \begin{subequations}
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% \begin{align}
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% p_{+} &= - \xi \omega_0 \left( 1 + \frac{\Omega}{\omega_0} \right) \pm j \omega_0 \left( 1 + \frac{\Omega}{\omega_0} \right) \\
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% p_{-} &= - \xi \omega_0 \left( 1 - \frac{\Omega}{\omega_0} \right) \pm j \omega_0 \left( 1 - \frac{\Omega}{\omega_0} \right)
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% \end{align}
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% \end{subequations}
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%% Model parameters for first analysis
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kn = 1; % Actuator Stiffness [N/m]
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mn = 1; % Payload Mass [kg]
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cn = 0.05; % Actuator Damping [N/(m/s)]
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xin = cn/(2*sqrt(kn*mn)); % Modal Damping [-]
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w0n = sqrt(kn/mn); % Natural Frequency [rad/s]
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%% Computation of the poles as a function of the rotating velocity
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Wzs = linspace(0, 2, 51); % Vector of rotation speeds [rad/s]
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p_ws = zeros(4, length(Wzs));
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for i = 1:length(Wzs)
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Wz = Wzs(i);
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pole_G = pole(1/(((s^2)/(w0n^2) + 2*xin*s/w0n + 1 - (Wz^2)/(w0n^2))^2 + (2*Wz*s/(w0n^2))^2));
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[~, i_sort] = sort(imag(pole_G));
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p_ws(:, i) = pole_G(i_sort);
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end
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clear pole_G;
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% The real and complex parts of these two pairs of complex conjugate poles are represented in Figure ref:fig:rotating_campbell_diagram as a function of the rotational speed $\Omega$.
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% As the rotational speed increases, $p_{+}$ goes to higher frequencies and $p_{-}$ goes to lower frequencies.
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% The system becomes unstable for $\Omega > \omega_0$ as the real part of $p_{-}$ is positive.
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% Physically, the negative stiffness term $-m\Omega^2$ induced by centrifugal forces exceeds the spring stiffness $k$.
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%% Campbell diagram - Real and Imaginary parts of the poles as a function of the rotating velocity
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figure;
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tiledlayout(1, 2, 'TileSpacing', 'Compact', 'Padding', 'None');
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ax1 = nexttile();
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hold on;
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plot(Wzs, real(p_ws(1, :)), '-', 'color', colors(1,:), 'DisplayName', '$p_{+}$')
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plot(Wzs, real(p_ws(4, :)), '-', 'color', colors(1,:), 'HandleVisibility', 'off')
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plot(Wzs, real(p_ws(2, :)), '-', 'color', colors(2,:), 'DisplayName', '$p_{-}$')
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plot(Wzs, real(p_ws(3, :)), '-', 'color', colors(2,:), 'HandleVisibility', 'off')
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plot(Wzs, zeros(size(Wzs)), 'k--', 'HandleVisibility', 'off')
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hold off;
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xlabel('Rotational Speed $\Omega$'); ylabel('Real Part');
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leg = legend('location', 'northwest', 'FontSize', 8);
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leg.ItemTokenSize(1) = 8;
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xlim([0, 2*w0n]);
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xticks([0,w0n/2,w0n,3/2*w0n,2*w0n])
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xticklabels({'$0$', '', '$\omega_0$', '', '$2 \omega_0$'})
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ylim([-3*xin, 3*xin]);
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yticks([-3*xin, -2*xin, -xin, 0, xin, 2*xin, 3*xin])
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yticklabels({'', '', '$-\xi\omega_0$', '$0$', ''})
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ax2 = nexttile();
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hold on;
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plot(Wzs, imag(p_ws(1, :)), '-', 'color', colors(1,:))
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plot(Wzs, imag(p_ws(4, :)), '-', 'color', colors(1,:))
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plot(Wzs, imag(p_ws(2, :)), '-', 'color', colors(2,:))
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plot(Wzs, imag(p_ws(3, :)), '-', 'color', colors(2,:))
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plot(Wzs, zeros(size(Wzs)), 'k--')
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hold off;
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xlabel('Rotational Speed $\Omega$'); ylabel('Imaginary Part');
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xlim([0, 2*w0n]);
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xticks([0,w0n/2,w0n,3/2*w0n,2*w0n])
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xticklabels({'$0$', '', '$\omega_0$', '', '$2 \omega_0$'})
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ylim([-3*w0n, 3*w0n]);
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yticks([-3*w0n, -2*w0n, -w0n, 0, w0n, 2*w0n, 3*w0n])
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yticklabels({'', '', '$-\omega_0$', '$0$', '$\omega_0$', '', ''})
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% Identify Generic Dynamics :noexport:
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%% Sample
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ms = 0.5; % Sample mass [kg]
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%% Tuv Stage
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kn = 1; % Stiffness [N/m]
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mn = 0.5; % Tuv mass [kg]
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cn = 0.01*2*sqrt(kn*(mn+ms)); % Damping [N/(m/s)]
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%% General Configuration
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model_config = struct();
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model_config.controller = "open_loop"; % Default: Open-Loop
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model_config.Tuv_type = "normal"; % Default: 2DoF stage
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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, '/controller'], 1, 'openinput'); io_i = io_i + 1; % [Fu, Fv]
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io(io_i) = linio([mdl, '/fd'], 1, 'openinput'); io_i = io_i + 1; % [Fdu, Fdv]
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io(io_i) = linio([mdl, '/xf'], 1, 'openinput'); io_i = io_i + 1; % [Dfx, Dfy]
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io(io_i) = linio([mdl, '/translation_stage'], 1, 'openoutput'); io_i = io_i + 1; % [Fmu, Fmv]
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io(io_i) = linio([mdl, '/translation_stage'], 2, 'openoutput'); io_i = io_i + 1; % [Du, Dv]
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io(io_i) = linio([mdl, '/ext_metrology'], 1, 'openoutput'); io_i = io_i + 1; % [Dx, Dy]
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%% Tested rotating velocities [rad/s]
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Wzs = [0, 0.1, 0.2, 0.7, 1.2]; % Vector of rotation speeds [rad/s]
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Gs = {zeros(2, 2, length(Wzs))}; % Direct terms
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for i = 1:length(Wzs)
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Wz = Wzs(i);
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%% Linearize the model
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G = linearize(mdl, io, 0);
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%% Input/Output definition
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G.InputName = {'Fu', 'Fv', 'Fdx', 'Fdy', 'Dfx', 'Dfy'};
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G.OutputName = {'fu', 'fv', 'Du', 'Dv', 'Dx', 'Dy'};
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Gs{:,:,i} = G;
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end
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%% Save All Identified Plants
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save('./mat/rotating_generic_plants.mat', 'Gs', 'Wzs');
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% System Dynamics: Effect of rotation
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% The system dynamics from actuator forces $[F_u, F_v]$ to the relative motion $[d_u, d_v]$ is identified for several rotating velocities.
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% Looking at the transfer function matrix $\mathbf{G}_d$ in equation eqref:eq:Gd_w0_xi_k, one can see that the two diagonal (direct) terms are equal and that the two off-diagonal (coupling) terms are opposite.
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% The bode plot of these two terms are shown in Figure ref:fig:rotating_direct_coupling_bode_plot for several rotational speeds $\Omega$.
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% These plots confirm the expected behavior: the frequency of the two pairs of complex conjugate poles are further separated as $\Omega$ increases.
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% For $\Omega > \omega_0$, the low frequency pair of complex conjugate poles $p_{-}$ becomes unstable.
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%% Bode plot of the direct and coupling terms for several rotating velocities
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freqs = logspace(-1, 1, 1000);
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figure;
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tiledlayout(3, 2, 'TileSpacing', 'Compact', '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 = 1:length(Wzs)
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plot(freqs, abs(squeeze(freqresp(Gs{i}('du', 'Fu'), freqs, 'rad/s'))), '-', 'color', colors(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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set(gca, 'XTickLabel',[]); ylabel('Magnitude [m/N]');
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title('Direct terms: $d_u/F_u$, $d_v/F_v$');
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ylim([1e-2, 1e2]);
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yticks([1e-2,1e-1,1,1e1,1e2])
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yticklabels({'$0.01/k$', '$0.1/k$', '$1/k$', '$10/k$', '$100/k$'})
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ax2 = nexttile([2, 1]);
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hold on;
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for i = 1:length(Wzs)
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plot(freqs, abs(squeeze(freqresp(Gs{i}('dv', 'Fu'), freqs, 'rad/s'))), '-', 'color', colors(i,:), ...
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'DisplayName', sprintf('$\\Omega = %.1f \\omega_0$', Wzs(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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set(gca, 'XTickLabel',[]); set(gca, 'YTickLabel',[]);
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title('Coupling Terms: $d_u/F_v$, $d_v/F_u$');
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ldg = legend('location', 'northeast', 'FontSize', 8, 'NumColumns', 1);
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ldg.ItemTokenSize = [10, 1];
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ylim([1e-2, 1e2]);
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ax3 = nexttile;
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hold on;
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for i = 1:length(Wzs)
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gs{i}('du', 'Fu'), freqs, 'rad/s'))), '-', 'color', colors(i,:))
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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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xlabel('Frequency [rad/s]'); ylabel('Phase [deg]');
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yticks(-180:90:180);
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ylim([-180 180]);
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xticks([1e-1,1,1e1])
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xticklabels({'$0.1 \omega_0$', '$\omega_0$', '$10 \omega_0$'})
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ax4 = nexttile;
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hold on;
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for i = 1:length(Wzs)
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plot(freqs, 180/pi*angle(squeeze(freqresp(Gs{i}('dv', 'Fu'), freqs, 'rad/s'))), '-', 'color', colors(i,:));
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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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xlabel('Frequency [rad/s]'); set(gca, 'YTickLabel',[]);
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xticks([1e-1,1,1e1])
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xticklabels({'$0.1 \omega_0$', '$\omega_0$', '$10 \omega_0$'})
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linkaxes([ax1,ax2,ax3,ax4],'x');
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xlim([freqs(1), freqs(end)]);
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linkaxes([ax1,ax2],'y');
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