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Update all project: add folders with scripts

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This commit is contained in:
Thomas Dehaeze 2019-03-20 09:23:10 +01:00
parent f49e38f312
commit 482f8acd3f
43 changed files with 1009 additions and 497 deletions
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29
.gitignore vendored
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# Windows default autosave extension
*.asv
# OSX / *nix default autosave extension
*.m~
# Compiled MEX binaries (all platforms)
*.mex*
# Packaged app and toolbox files
*.mlappinstall
*.mltbx
# Generated helpsearch folders
helpsearch*/
# Simulink code generation folders
slprj/
sccprj/
# Simulink autosave extension
*.autosave
# Octave session info
octave-workspace
# Custom
stewart_displacement_grt_rtw/
Figures/

2
Stewartsimscape.prj Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<SimulinkProject xmlns="http://www.mathworks.com/SimulinkProjectFile" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="1.0"/>

36
active_damping/act_damp_iff_generate.m Normal file
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%%
clear; close all; clc;
%% Load the transfer functions
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%%
s = tf('s');
%% Light Voice Coil
%sisotool(-G_light_vc.G_iff('Fm1', 'F1')/s);
K_iff_light_vc = 105/s*tf(eye(6));
%% Light Piezo
%sisotool(-G_light_pz.G_iff('Fm1', 'F1')/s);
K_iff_light_pz = 3300/s*tf(eye(6));
%% Heavy Voice Coil
%sisotool(-G_heavy_vc.G_iff('Fm1', 'F1')/s);
K_iff_heavy_vc = 22.7/s*tf(eye(6));
%% Heavy Piezo
%sisotool(-G_heavy_pz.G_iff('Fm1', 'F1')/s);
K_iff_heavy_pz = 720/s*tf(eye(6));
%% Save Controllers
save('./mat/K_iff_sisotool.mat', ...
'K_iff_light_vc', 'K_iff_light_pz', ...
'K_iff_heavy_vc', 'K_iff_heavy_pz');

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active_damping/act_damp_iff_id.m Normal file
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%%
clear; close all; clc;
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%% Load controllers
load('./mat/K_iff_sisotool.mat', ...
'K_iff_light_vc', 'K_iff_light_pz', ...
'K_iff_heavy_vc', 'K_iff_heavy_pz');
%%
initializeSample(struct('mass', 1));
initializeHexapod(struct('actuator', 'lorentz'));
K_iff = K_iff_light_vc; %#ok
save('./mat/controllers.mat', 'K_iff', '-append');
G_light_vc_iff = identifyPlant();
initializeHexapod(struct('actuator', 'piezo'));
K_iff = K_iff_light_pz; %#ok
save('./mat/controllers.mat', 'K_iff', '-append');
G_light_pz_iff = identifyPlant();
%%
initializeSample(struct('mass', 50));
initializeHexapod(struct('actuator', 'lorentz'));
K_iff = K_iff_heavy_vc; %#ok
save('./mat/controllers.mat', 'K_iff', '-append');
G_heavy_vc_iff = identifyPlant();
initializeHexapod(struct('actuator', 'piezo'));
K_iff = K_iff_heavy_pz;
save('./mat/controllers.mat', 'K_iff', '-append');
G_heavy_pz_iff = identifyPlant();
%% Save the obtained transfer functions
save('./mat/G_iff.mat', ...
'G_light_vc_iff', 'G_light_pz_iff', ...
'G_heavy_vc_iff', 'G_heavy_pz_iff');

133
active_damping/act_damp_iff_plots.m Normal file
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%%
clear; close all; clc;
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%% Load
load('./mat/G_iff.mat', 'G_light_vc_iff', 'G_light_pz_iff', 'G_heavy_vc_iff', 'G_heavy_pz_iff');
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% New Damped Plant - Horizontal Direction
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc_iff.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz_iff.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_hori_iff', 'normal-normal', struct('path', 'active_damping')); end
%% New Damped Plant - Vertical Direction
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc_iff.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz_iff.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_vert_iff', 'normal-normal', struct('path', 'active_damping')); end
%% Ground motion Transmissibility - Horizontal Direction
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_db('Dx', 'Dbx'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_db('Dx', 'Dbx'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_db('Dx', 'Dbx'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_db('Dx', 'Dbx'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
xlabel('Frequency [Hz]'); ylabel('Amplitude [m/N]');
hold off;
if save_fig; exportFig('G_db_hori_iff', 'normal-normal', struct('path', 'active_damping')); end
%% Ground motion Transmissibility - Vertical Direction
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_db('Dz', 'Dbz'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_db('Dz', 'Dbz'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_db('Dz', 'Dbz'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_db('Dz', 'Dbz'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
xlabel('Frequency [Hz]'); ylabel('Amplitude [m/N]');
hold off;
if save_fig; exportFig('G_db_vert_iff', 'normal-normal', struct('path', 'active_damping')); end
%% Direct Forces Compliance - Horizontal Direction
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_fi('Dx', 'Fix'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_fi('Dx', 'Fix'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_fi('Dx', 'Fix'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_fi('Dx', 'Fix'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
xlabel('Frequency [Hz]'); ylabel('Amplitude [m/N]');
hold off;
if save_fig; exportFig('G_fi_hori_iff', 'normal-normal', struct('path', 'active_damping')); end
%% Direct Forces Compliance - Vertical Direction
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_fi('Dz', 'Fiz'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_fi('Dz', 'Fiz'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_light_vc_iff.G_fi('Dz', 'Fiz'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_light_pz_iff.G_fi('Dz', 'Fiz'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
xlabel('Frequency [Hz]'); ylabel('Amplitude [m/N]');
hold off;
if save_fig; exportFig('G_fi_vert_iff', 'normal-normal', struct('path', 'active_damping')); end

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active_damping/act_damp_main.m Normal file
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% Generate the IFF controls
run act_damp_iff_generate.m
% Identification of the damped plant
run act_damp_iff_id.m
% Plot new transfer functions
run act_damp_iff_plots.m

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analysis/analysis_stiffness.m Normal file
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%%
clear; close all; clc;
%%
sys_0 = initializeHexapod(struct('actuator', 'piezo', 'jacobian', 0));
sys_100 = initializeHexapod(struct('actuator', 'piezo', 'jacobian', 100));
sys_200 = initializeHexapod(struct('actuator', 'piezo', 'jacobian', 1000000));
%%
K_0 = getStiffnessMatrix(sys_0.Leg.k.ax, sys_0.J );
K_100 = getStiffnessMatrix(sys_100.Leg.k.ax, sys_100.J);
K_200 = getStiffnessMatrix(sys_200.Leg.k.ax, sys_200.J);
%%

4
analyze_jacobian.m
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@ -1,6 +1,7 @@
%% Script Description %% Script Description
% %
%%
figure; figure;
plot(d_meas.Time, d.Data-d_meas.Data) plot(d_meas.Time, d.Data-d_meas.Data)
@ -46,4 +47,3 @@ plot(jacobian.Time, squeeze(K_change(5, 5, :)));
plot(jacobian.Time, squeeze(K_change(6, 6, :))); plot(jacobian.Time, squeeze(K_change(6, 6, :)));
legend({'Kxx', 'Kyy', 'Kzz', 'Kmx', 'Kmy', 'Kmz'}) legend({'Kxx', 'Kyy', 'Kzz', 'Kmx', 'Kmy', 'Kmz'})
hold off; hold off;

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config.m Normal file
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%%
addpath('active_damping');
addpath('analysis');
addpath('identification');
addpath('library');
addpath('studies');
addpath('src');
%%
freqs = logspace(-1, 3, 1000);
save_fig = false;
save('./mat/config.mat', 'freqs', 'save_fig');

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identification/id_G.m Normal file
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%% Script Description
% Script used to identify various transfer functions
% of the Stewart platform
%%
clear; close all; clc;
%%
K_iff = tf(zeros(6));
save('./mat/controllers.mat', 'K_iff', '-append');
%% Initialize System
initializeSample(struct('mass', 50));
initializeHexapod(struct('actuator', 'piezo'));
%% Identification
G = identifyPlant();
%% Save
save('./mat/G.mat', 'G');

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identification/id_jacobian.m Normal file
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%% Script Description
%%
clear; close all; clc;
%%
K_iff = tf(zeros(6));
save('./mat/controllers.mat', 'K_iff', '-append');
%% System - perfectly aligned
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 1, 'density', 0.1));
initializeSample(struct('mass', 50, 'height', 1, 'measheight', 1, 'offset', [0, 0, -25.5]));
% Identification
G_center = identifyPlant();
%% System - Jacobian is too high
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 160));
initializeSample(struct('mass', 50, 'height', 300, 'measheight', 150));
% Identification
G_Jac_offset = identifyPlant();
%% System - CoM is too low
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 150));
initializeSample(struct('mass', 50, 'height', 280, 'measheight', 150));
% Identification
G_CoM_offset = identifyPlant();
%% System - Meas point is too high
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 150));
initializeSample(struct('mass', 50, 'height', 300, 'measheight', 160));
% Identification
G_Meas_offset = identifyPlant();
%% Save
save('./mat/G_jacobian.mat', 'G_center', 'G_Jac_offset', 'G_CoM_offset', 'G_Meas_offset');

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identification/id_jacobian_plots.m Normal file
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%% Script Description
%
%%
clear; close all; clc;
%%
load('./mat/G_jacobian.mat');
%%
freqs = logspace(0, 3, 2000);
%%
bode_opts = bodeoptions;
bode_opts.FreqUnits = 'Hz';
bode_opts.MagUnits = 'abs';
bode_opts.MagScale = 'log';
bode_opts.PhaseVisible = 'off';
%% Compare when the Jac is above Meas. point and CoM
% =>
figure;
bode(G_center.G_cart, G_Jac_offset.G_cart, 2*pi*freqs, bode_opts);
%% Compare when the CoM is bellow the Meas. point and Jac
% => This make the tilt resonance frequency a little bit higher.
figure;
bode(G_center.G_cart, G_CoM_offset.G_cart, 2*pi*freqs, bode_opts);
%% Compare when the measurement point is higher than CoM and Jac
% =>
figure;
bode(G_center.G_cart, G_Meas_offset.G_cart, 2*pi*freqs, bode_opts);
%% Compare direct forces and forces applied by actuators on the same point
% => This should be the same is the support is rigid.
% => Looks like it's close but not equal
figure;
bode(G_center.G_cart, G_center.G_comp, 2*pi*freqs, bode_opts);
%% Compare relative sensor and absolute sensor
% => This should be the same as the support is rigid
figure;
bode(G_center.G_iner, G_center.G_comp, 2*pi*freqs, bode_opts);

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identification/id_main.m Normal file
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%%
clear; close all; clc;
%% Jacobian Study
%% Identification of the system
run id_G.m
%% Plots of the identifications
run id_plot_cart.m
run id_plot_legs.m
run id_plot_iff.m
run id_plot_db.m

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identification/id_plot_cart.m Normal file
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%%
clear; close all; clc;
%% Load the transfer functions
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%% Plant in the X direction
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_vc.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_pz.G_cart('Dx', 'Fx'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_hori', 'normal-normal', struct('path', 'identification')); end
%% Plant in the Z direction
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_vc.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_pz.G_cart('Dz', 'Fz'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_vert', 'normal-normal', struct('path', 'identification')); end
%% Coupling
figure;
for i_input = 1:3
for i_output = 1:3
subaxis(3,3,3*(i_input-1)+i_output);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_cart(i_output, i_input), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_cart(i_output, i_input), freqs, 'Hz'))));
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
xlim([freqs(1) freqs(end)]); ylim([1e-22, 1e-2]);
yticks([1e-20, 1e-15, 1e-10, 1e-5]); xticks([0.1 1 10 100 1000]);
if i_output > 1; set(gca,'yticklabel',[]); end
if i_input < 3; set(gca,'xticklabel',[]); end
hold off;
end
end
if save_fig; exportFig('G_coupling', 'wide-tall', struct('path', 'identification')); end

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identification/id_plot_db.m Normal file
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%%
clear; close all; clc;
%% Load the transfer functions
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%%
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_db('Dx', 'Dbx'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_db('Dx', 'Dbx'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_db('Dx', 'Dbx'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_db('Dx', 'Dbx'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
ylabel('Amplitude [m/m]'); xlabel('Frequency [Hz]');
hold off;
legend('Location', 'southeast');
if save_fig; exportFig('G_db_hori', 'normal-normal', struct('path', 'identification')); end
%%
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_db('Dz', 'Dbz'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_db('Dz', 'Dbz'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_db('Dz', 'Dbz'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_db('Dz', 'Dbz'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
ylabel('Amplitude [m/m]'); xlabel('Frequency [Hz]');
hold off;
legend('Location', 'southeast');
if save_fig; exportFig('G_db_vert', 'normal-normal', struct('path', 'identification')); end
%%

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identification/id_plot_iff.m Normal file
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%%
clear; close all; clc;
%% Load the transfer functions
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%%
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm1', 'F1'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_iff('Fm1', 'F1'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_iff('Fm1', 'F1'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_iff('Fm1', 'F1'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_iff('Fm1', 'F1'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_iff('Fm1', 'F1'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_vc.G_iff('Fm1', 'F1'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_pz.G_iff('Fm1', 'F1'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_iff', 'normal-normal', struct('path', 'identification')); end
%% Coupling
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm1', 'F1'), freqs, 'Hz'))), 'k-');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm2', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm3', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm4', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm5', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_iff('Fm6', 'F1'), freqs, 'Hz'))), 'k--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
ylabel('Amplitude [m/N]'); xlabel('Frequency [Hz]');
hold off;
if save_fig; exportFig('G_iff_coupling', 'normal-normal', struct('path', 'identification')); end

57
identification/id_plot_legs.m Normal file
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%%
clear; close all; clc;
%% Load the transfer functions
load('./mat/G.mat', 'G_light_vc', 'G_light_pz', 'G_heavy_vc', 'G_heavy_pz');
%% Load Configuration file
load('./mat/config.mat', 'save_fig', 'freqs');
%%
figure;
% Amplitude
ax1 = subaxis(2,1,1);
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D1', 'F1'), freqs, 'Hz'))));
plot(freqs, abs(squeeze(freqresp(G_light_pz.G_legs('D1', 'F1'), freqs, 'Hz'))));
set(gca,'ColorOrderIndex',1);
plot(freqs, abs(squeeze(freqresp(G_heavy_vc.G_legs('D1', 'F1'), freqs, 'Hz'))), '--');
plot(freqs, abs(squeeze(freqresp(G_heavy_pz.G_legs('D1', 'F1'), freqs, 'Hz'))), '--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
set(gca, 'XTickLabel',[]);
ylabel('Amplitude [m/N]');
hold off;
% Phase
ax2 = subaxis(2,1,2);
hold on;
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_vc.G_legs('D1', 'F1'), freqs, 'Hz'))), 'DisplayName', 'VC - Light');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_light_pz.G_legs('D1', 'F1'), freqs, 'Hz'))), 'DisplayName', 'PZ - Light');
set(gca,'ColorOrderIndex',1)
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_vc.G_legs('D1', 'F1'), freqs, 'Hz'))), '--', 'DisplayName', 'VC - Heavy');
plot(freqs, 180/pi*angle(squeeze(freqresp(G_heavy_pz.G_legs('D1', 'F1'), freqs, 'Hz'))), '--', 'DisplayName', 'PZ - Heavy');
set(gca,'xscale','log');
yticks(-180:90:180);
ylim([-180 180]);
xlabel('Frequency [Hz]'); ylabel('Phase [deg]');
legend('Location', 'southwest');
hold off;
linkaxes([ax1,ax2],'x');
if save_fig; exportFig('G_legs', 'normal-normal', struct('path', 'identification')); end
%% Coupling
figure;
hold on;
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D1', 'F1'), freqs, 'Hz'))), 'k-');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D2', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D3', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D4', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D5', 'F1'), freqs, 'Hz'))), 'k--');
plot(freqs, abs(squeeze(freqresp(G_light_vc.G_legs('D6', 'F1'), freqs, 'Hz'))), 'k--');
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
ylabel('Amplitude [m/N]'); xlabel('Frequency [Hz]');
hold off;
if save_fig; exportFig('G_legs_coupling', 'normal-normal', struct('path', 'identification')); end

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identification_cart.m
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%% Script Description
% Script used to identify the transfer functions of the
% Stewart platform (from actuator to displacement)
%%
clear; close all; clc;
%%
initializeNanoHexapod();
%%
initializeSample(struct('mass', 0));
G_cart_0 = identifyPlantCart();
%%
initializeSample(struct('mass', 10));
G_cart_10 = identifyPlantCart();
%%
initializeSample(struct('mass', 50));
G_cart_50 = identifyPlantCart();
%%
freqs = logspace(1, 4, 1000);
bodeFig({G_cart_0(1, 1), G_cart_10(1, 1), G_cart_50(1, 1)}, freqs, struct('phase', true))
legend({'$F_x \rightarrow D_x$ - $M = 0Kg$', '$F_x \rightarrow D_x$ - $M = 10Kg$', '$F_x \rightarrow D_x$ - $M = 50Kg$'})
legend('location', 'southwest')
exportFig('hexapod_cart_mass_x', 'normal-tall')
bodeFig({G_cart_0(3, 3), G_cart_10(3, 3), G_cart_50(3, 3)}, freqs, struct('phase', true))
legend({'$F_z \rightarrow D_z$ - $M = 0Kg$', '$F_z \rightarrow D_z$ - $M = 10Kg$', '$F_z \rightarrow D_z$ - $M = 50Kg$'})
legend('location', 'southwest')
exportFig('hexapod_cart_mass_z', 'normal-tall')
%%
% Bode Plot of the linearized function
freqs = logspace(2, 4, 1000);
bodeFig({G_cart_0(1, 1), G_cart_0(2, 2), G_cart_0(3, 3)}, freqs, struct('phase', true))
legend({'$F_x \rightarrow D_x$', '$F_y \rightarrow D_y$', '$F_z \rightarrow D_z$'})
exportFig('hexapod_cart_trans', 'normal-normal')
bodeFig({G_cart_0(4, 4), G_cart_0(5, 5), G_cart_0(6, 6)}, freqs, struct('phase', true))
legend({'$M_x \rightarrow R_x$', '$M_y \rightarrow R_y$', '$M_z \rightarrow R_z$'})
exportFig('hexapod_cart_rot', 'normal-normal')
bodeFig({G_cart_0(1, 1), G_cart_0(2, 1), G_cart_0(3, 1)}, freqs, struct('phase', true))
legend({'$F_x \rightarrow D_x$', '$F_x \rightarrow D_y$', '$F_x \rightarrow D_z$'})
exportFig('hexapod_cart_coupling', 'normal-normal')
%% Save identify transfer functions
save('./mat/G_cart.mat', 'G_cart_0', 'G_cart_10', 'G_cart_50');

45
identification_legs.m
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%% Script Description
% Script used to identify the transfer functions of the
% Stewart platform (from actuator to displacement)
%%
clear; close all; clc;
%%
initializeNanoHexapod();
%%
initializeSample(struct('mass', 0));
G_legs_0 = identifyPlantLegs();
%%
initializeSample(struct('mass', 10));
G_legs_10 = identifyPlantLegs();
%%
initializeSample(struct('mass', 50));
G_legs_50 = identifyPlantLegs();
%%
freqs = logspace(1, 4, 1000);
bodeFig({G_legs_0(1, 1), G_legs_10(1, 1), G_legs_50(1, 1)}, freqs, struct('phase', true))
legend({'$F_i \rightarrow D_i$ - $M = 0Kg$', '$F_i \rightarrow D_i$ - $M = 10Kg$', '$F_i \rightarrow D_i$ - $M = 50Kg$'})
legend('location', 'southwest')
exportFig('hexapod_legs_mass', 'normal-tall')
%%
freqs = logspace(1, 4, 1000);
bodeFig({G_legs_0(1, 2), G_legs_10(1, 2), G_legs_50(1, 2)}, freqs, struct('phase', true))
legend({'$F_i \rightarrow D_j$ - $M = 0Kg$', '$F_i \rightarrow D_j$ - $M = 10Kg$', '$F_i \rightarrow D_j$ - $M = 50Kg$'})
legend('location', 'southwest')
exportFig('hexapod_legs_coupling_mass', 'normal-tall')
%% Save identify transfer functions
save('./mat/G_legs.mat', 'G_legs_0', 'G_legs_10', 'G_legs_50');

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init_simulink.m
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%% Script Description
%
%% Load the sample and the stewart platform
load('./mat/sample.mat', 'sample')
load('./mat/stewart.mat', 'stewart')

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main.m Normal file
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%%
clear; close all; clc;
%% Configuration File
run config.m
%% Identification
open id_main.m
%% Active Damping
open act_damp_main.m

6
readme.org
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#+TITLE: Stewart Platform using Simscape
* TODOS
** TODO Add functions to identify transmissibility and sensitivity
** TODO Rewrite the script to study the effect of various parameters on the stiffness/stroke/...
** TODO Rewrite the function to study the jacobian, or delete it.

7
src/getJacobianMatrix.m
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function J = getJacobianMatrix(RM,M_pos_base)
% RM: [3x6] unit vector of each leg in the fixed frame
% M_pos_base: [3x6] vector of the leg connection at the top platform location in the fixed frame
J = zeros(6);
J(:, 1:3) = RM';
J(:, 4:6) = cross(M_pos_base, RM)';
end

6
src/getStiffnessMatrix.m
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function [K] = getStiffnessMatrix(leg, J) function [K] = getStiffnessMatrix(k, J)
K = leg.k.ax*(J'*J); % k - leg stiffness
% J - Jacobian matrix
K = k*(J'*J);
end end

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src/identifyPlant.m Normal file
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function [sys] = identifyPlant(opts_param)
%% Default values for opts
opts = struct();
%% Populate opts with input parameters
if exist('opts_param','var')
for opt = fieldnames(opts_param)'
opts.(opt{1}) = opts_param.(opt{1});
end
end
%% Options for Linearized
options = linearizeOptions;
options.SampleTime = 0;
%% Name of the Simulink File
mdl = 'stewart_identification';
%% Input/Output definition
io(1) = linio([mdl, '/F'], 1, 'input'); % Cartesian forces
io(2) = linio([mdl, '/Fl'], 1, 'input'); % Leg forces
io(3) = linio([mdl, '/Fd'], 1, 'input'); % Direct forces
io(4) = linio([mdl, '/Dw'], 1, 'input'); % Base motion
io(5) = linio([mdl, '/Dm'], 1, 'output'); % Relative Motion
io(6) = linio([mdl, '/Dlm'], 1, 'output'); % Displacement of each leg
io(7) = linio([mdl, '/Flm'], 1, 'output'); % Force sensor in each leg
io(8) = linio([mdl, '/Xm'], 1, 'output'); % Absolute motion of platform
%% Run the linearization
G = linearize(mdl, io, 0);
%% Input/Output names
G.InputName = {'Fx', 'Fy', 'Fz', 'Mx', 'My', 'Mz', ...
'F1', 'F2', 'F3', 'F4', 'F5', 'F6', ...
'Fdx', 'Fdy', 'Fdz', 'Mdx', 'Mdy', 'Mdz', ...
'Dwx', 'Dwy', 'Dwz', 'Rwx', 'Rwy', 'Rwz'};
G.OutputName = {'Dxm', 'Dym', 'Dzm', 'Rxm', 'Rym', 'Rzm', ...
'D1m', 'D2m', 'D3m', 'D4m', 'D5m', 'D6m', ...
'F1m', 'F2m', 'F3m', 'F4m', 'F5m', 'F6m', ...
'Dxtm', 'Dytm', 'Dztm', 'Rxtm', 'Rytm', 'Rztm'};
%% Cut into sub transfer functions
sys.G_cart = minreal(G({'Dxm', 'Dym', 'Dzm', 'Rxm', 'Rym', 'Rzm'}, {'Fx', 'Fy', 'Fz', 'Mx', 'My', 'Mz'}));
sys.G_forc = minreal(G({'F1m', 'F2m', 'F3m', 'F4m', 'F5m', 'F6m'}, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}));
sys.G_legs = G({'D1m', 'D2m', 'D3m', 'D4m', 'D5m', 'D6m'}, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'});
sys.G_tran = minreal(G({'Dxm', 'Dym', 'Dzm', 'Rxm', 'Rym', 'Rzm'}, {'Dwx', 'Dwy', 'Dwz', 'Rwx', 'Rwy', 'Rwz'}));
sys.G_comp = minreal(G({'Dxm', 'Dym', 'Dzm', 'Rxm', 'Rym', 'Rzm'}, {'Fdx', 'Fdy', 'Fdz', 'Mdx', 'Mdy', 'Mdz'}));
sys.G_iner = minreal(G({'Dxtm', 'Dytm', 'Dztm', 'Rxtm', 'Rytm', 'Rztm'}, {'Fdx', 'Fdy', 'Fdz', 'Mdx', 'Mdy', 'Mdz'}));
sys.G_all = minreal(G);
end

35
src/identifyPlantCart.m
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function [G_cart, G_cart_raw] = identifyPlantCart()
%% Default values for opts
opts = struct('f_low', 1,...
'f_high', 10000 ...
);
%% Populate opts with input parameters
if exist('opts_param','var')
for opt = fieldnames(opts_param)'
opts.(opt{1}) = opts_param.(opt{1});
end
end
%% Options for Linearized
options = linearizeOptions;
options.SampleTime = 0;
%% Name of the Simulink File
mdl = 'stewart_simscape';
%% Centralized control (Cartesian coordinates)
% Input/Output definition
io(1) = linio([mdl, '/F_cart'],1,'input');
io(2) = linio([mdl, '/Stewart_Platform'],1,'output');
% Run the linearization
G_cart_raw = linearize(mdl,io, 0);
G_cart = preprocessIdTf(G_cart_raw, opts.f_low, opts.f_high);
% Input/Output names
G_cart.InputName = {'Fx', 'Fy', 'Fz', 'Mx', 'My', 'Mz'};
G_cart.OutputName = {'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'};
end

35
src/identifyPlantLegs.m
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function [G_legs, G_legs_raw] = identifyPlantLegs()
%% Default values for opts
opts = struct('f_low', 1, ...
'f_high', 10000 ...
);
%% Populate opts with input parameters
if exist('opts_param','var')
for opt = fieldnames(opts_param)'
opts.(opt{1}) = opts_param.(opt{1});
end
end
%% Options for Linearized
options = linearizeOptions;
options.SampleTime = 0;
%% Name of the Simulink File
mdl = 'stewart_simscape';
%% Centralized control (Cartesian coordinates)
% Input/Output definition
io(1) = linio([mdl, '/F_legs'], 1,'input');
io(2) = linio([mdl, '/Stewart_Platform'],2,'output');
% Run the linearization
G_legs_raw = linearize(mdl,io, 0);
G_legs = preprocessIdTf(G_legs_raw, opts.f_low, opts.f_high);
% Input/Output names
G_legs.InputName = {'F1', 'F2', 'F3', 'M4', 'M5', 'M6'};
G_legs.OutputName = {'D1', 'D2', 'D3', 'R4', 'R5', 'R6'};
end

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function [stewart] = initializeHexapod(opts_param)
%% Default values for opts
opts = struct(...
'height', 90, ... % Height of the platform [mm]
'jacobian', 150, ... % Jacobian offset [mm]
'density', 8000, ... % Density of hexapod [mm]
'name', 'stewart' ... % Name of the file
);
%% Populate opts with input parameters
if exist('opts_param','var')
for opt = fieldnames(opts_param)'
opts.(opt{1}) = opts_param.(opt{1});
end
end
%% Stewart Object
stewart = struct();
stewart.h = opts.height; % Total height of the platform [mm]
stewart.jacobian = opts.jacobian; % distance from the center of the top platform
% where the jacobian is computed [mm]
%% Bottom Plate
BP = struct();
BP.rad.int = 0; % Internal Radius [mm]
BP.rad.ext = 150; % External Radius [mm]
BP.thickness = 10; % Thickness [mm]
BP.leg.rad = 100; % Radius where the legs articulations are positionned [mm]
BP.leg.ang = 5; % Angle Offset [deg]
BP.density = opts.density; % Density of the material [kg/m3]
BP.color = [0.7 0.7 0.7]; % Color [rgb]
BP.shape = [BP.rad.int BP.thickness; BP.rad.int 0; BP.rad.ext 0; BP.rad.ext BP.thickness];
%% Top Plate
TP = struct();
TP.rad.int = 0; % Internal Radius [mm]
TP.rad.ext = 100; % Internal Radius [mm]
TP.thickness = 10; % Thickness [mm]
TP.leg.rad = 90; % Radius where the legs articulations are positionned [mm]
TP.leg.ang = 5; % Angle Offset [deg]
TP.density = opts.density; % Density of the material [kg/m3]
TP.color = [0.7 0.7 0.7]; % Color [rgb]
TP.shape = [TP.rad.int TP.thickness; TP.rad.int 0; TP.rad.ext 0; TP.rad.ext TP.thickness];
%% Leg
Leg = struct();
Leg.stroke = 80e-6; % Maximum Stroke of each leg [m]
if strcmp(opts.actuator, 'piezo')
Leg.k.ax = 1e7; % Stiffness of each leg [N/m]
Leg.c.ax = 500; % [N/(m/s)]
elseif strcmp(opts.actuator, 'lorentz')
Leg.k.ax = 1e4; % Stiffness of each leg [N/m]
Leg.c.ax = 200; % [N/(m/s)]
elseif isnumeric(opts.actuator)
Leg.k.ax = opts.actuator; % Stiffness of each leg [N/m]
Leg.c.ax = 100; % [N/(m/s)]
else
error('opts.actuator should be piezo or lorentz or numeric value');
end
Leg.rad.bottom = 12; % Radius of the cylinder of the bottom part [mm]
Leg.rad.top = 10; % Radius of the cylinder of the top part [mm]
Leg.density = opts.density; % Density of the material [kg/m3]
Leg.color.bottom = [0.5 0.5 0.5]; % Color [rgb]
Leg.color.top = [0.5 0.5 0.5]; % Color [rgb]
Leg.sphere.bottom = Leg.rad.bottom; % Size of the sphere at the end of the leg [mm]
Leg.sphere.top = Leg.rad.top; % Size of the sphere at the end of the leg [mm]
%% Sphere
SP = struct();
SP.height.bottom = 15; % [mm]
SP.height.top = 15; % [mm]
SP.density.bottom = opts.density; % [kg/m^3]
SP.density.top = opts.density; % [kg/m^3]
SP.color.bottom = [0.7 0.7 0.7]; % [rgb]
SP.color.top = [0.7 0.7 0.7]; % [rgb]
SP.k.ax = 0; % [N*m/deg]
SP.c.ax = 0; % [N*m/deg]
SP.thickness.bottom = SP.height.bottom-Leg.sphere.bottom; % [mm]
SP.thickness.top = SP.height.top-Leg.sphere.top; % [mm]
SP.rad.bottom = Leg.sphere.bottom; % [mm]
SP.rad.top = Leg.sphere.top; % [mm]
%%
Leg.support.bottom = [0 SP.thickness.bottom; 0 0; SP.rad.bottom 0; SP.rad.bottom SP.height.bottom];
Leg.support.top = [0 SP.thickness.top; 0 0; SP.rad.top 0; SP.rad.top SP.height.top];
%%
stewart.BP = BP;
stewart.TP = TP;
stewart.Leg = Leg;
stewart.SP = SP;
%%
stewart = initializeParameters(stewart);
%%
save('./mat/stewart.mat', 'stewart')
%% ==============================================================
% Additional Functions
% ===============================================================
%% Initialize Parameters
function [stewart] = initializeParameters(stewart)
%% Connection points on base and top plate w.r.t. World frame at the center of the base plate
stewart.pos_base = zeros(6, 3);
stewart.pos_top = zeros(6, 3);
alpha_b = stewart.BP.leg.ang*pi/180; % angle de décalage par rapport à 120 deg (pour positionner les supports bases)
alpha_t = stewart.TP.leg.ang*pi/180; % +- offset angle from 120 degree spacing on top
% Height [m] TODO
height = (stewart.h-stewart.BP.thickness-stewart.TP.thickness-stewart.Leg.sphere.bottom-stewart.Leg.sphere.top-stewart.SP.thickness.bottom-stewart.SP.thickness.top)*0.001;
radius_b = stewart.BP.leg.rad*0.001; % rayon emplacement support base
radius_t = stewart.TP.leg.rad*0.001; % top radius in meters
for i = 1:3
% base points
angle_m_b = (2*pi/3)* (i-1) - alpha_b;
angle_p_b = (2*pi/3)* (i-1) + alpha_b;
stewart.pos_base(2*i-1,:) = [radius_b*cos(angle_m_b), radius_b*sin(angle_m_b), 0.0];
stewart.pos_base(2*i,:) = [radius_b*cos(angle_p_b), radius_b*sin(angle_p_b), 0.0];
% top points
% Top points are 60 degrees offset
angle_m_t = (2*pi/3)* (i-1) - alpha_t + 2*pi/6;
angle_p_t = (2*pi/3)* (i-1) + alpha_t + 2*pi/6;
stewart.pos_top(2*i-1,:) = [radius_t*cos(angle_m_t), radius_t*sin(angle_m_t), height];
stewart.pos_top(2*i,:) = [radius_t*cos(angle_p_t), radius_t*sin(angle_p_t), height];
end
% permute pos_top points so that legs are end points of base and top points
stewart.pos_top = [stewart.pos_top(6,:); stewart.pos_top(1:5,:)]; %6th point on top connects to 1st on bottom
stewart.pos_top_tranform = stewart.pos_top - height*[zeros(6, 2),ones(6, 1)];
%% leg vectors
legs = stewart.pos_top - stewart.pos_base;
leg_length = zeros(6, 1);
leg_vectors = zeros(6, 3);
for i = 1:6
leg_length(i) = norm(legs(i,:));
leg_vectors(i,:) = legs(i,:) / leg_length(i);
end
stewart.Leg.lenght = 1000*leg_length(1)/1.5;
stewart.Leg.shape.bot = [0 0; ...
stewart.Leg.rad.bottom 0; ...
stewart.Leg.rad.bottom stewart.Leg.lenght; ...
stewart.Leg.rad.top stewart.Leg.lenght; ...
stewart.Leg.rad.top 0.2*stewart.Leg.lenght; ...
0 0.2*stewart.Leg.lenght];
%% Calculate revolute and cylindrical axes
rev1 = zeros(6, 3);
rev2 = zeros(6, 3);
cyl1 = zeros(6, 3);
for i = 1:6
rev1(i,:) = cross(leg_vectors(i,:), [0 0 1]);
rev1(i,:) = rev1(i,:) / norm(rev1(i,:));
rev2(i,:) = - cross(rev1(i,:), leg_vectors(i,:));
rev2(i,:) = rev2(i,:) / norm(rev2(i,:));
cyl1(i,:) = leg_vectors(i,:);
end
%% Coordinate systems
stewart.lower_leg = struct('rotation', eye(3));
stewart.upper_leg = struct('rotation', eye(3));
for i = 1:6
stewart.lower_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)'];
stewart.upper_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)'];
end
%% Position Matrix
% TODO
stewart.M_pos_base = stewart.pos_base + (height+(stewart.TP.thickness+stewart.Leg.sphere.top+stewart.SP.thickness.top+stewart.jacobian)*1e-3)*[zeros(6, 2),ones(6, 1)];
%% Compute Jacobian Matrix
% TODO
% aa = stewart.pos_top_tranform + (stewart.jacobian - stewart.TP.thickness - stewart.SP.height.top)*1e-3*[zeros(6, 2),ones(6, 1)];
bb = stewart.pos_top_tranform - (stewart.TP.thickness + stewart.SP.height.top)*1e-3*[zeros(6, 2),ones(6, 1)];
bb = bb - stewart.jacobian*1e-3*[zeros(6, 2),ones(6, 1)];
stewart.J = getJacobianMatrix(leg_vectors', bb');
stewart.K = stewart.Leg.k.ax*stewart.J'*stewart.J;
end
%% Compute the Jacobian Matrix
function J = getJacobianMatrix(RM, M_pos_base)
% RM - [3x6] unit vector of each leg in the fixed frame
% M_pos_base - [3x6] vector of the leg connection at the top platform location in the fixed frame
J = zeros(6);
J(:, 1:3) = RM';
J(:, 4:6) = cross(M_pos_base, RM)';
end
end

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src/initializeMicroHexapod.m
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function [stewart] = initializeMicroHexapod()
%% Stewart Object
stewart = struct();
stewart.h = 350; % Total height of the platform [mm]
stewart.jacobian = 435; % Point where the Jacobian is computed => Center of rotation [mm]
%% Bottom Plate
BP = struct();
BP.rad.int = 110; % Internal Radius [mm]
BP.rad.ext = 207.5; % External Radius [mm]
BP.thickness = 26; % Thickness [mm]
BP.leg.rad = 175.5; % Radius where the legs articulations are positionned [mm]
BP.leg.ang = 9.5; % Angle Offset [deg]
BP.density = 8000; % Density of the material [kg/m^3]
BP.color = [0.6 0.6 0.6]; % Color [rgb]
BP.shape = [BP.rad.int BP.thickness; BP.rad.int 0; BP.rad.ext 0; BP.rad.ext BP.thickness];
%% Top Plate
TP = struct();
TP.rad.int = 82; % Internal Radius [mm]
TP.rad.ext = 150; % Internal Radius [mm]
TP.thickness = 26; % Thickness [mm]
TP.leg.rad = 118; % Radius where the legs articulations are positionned [mm]
TP.leg.ang = 12.1; % Angle Offset [deg]
TP.density = 8000; % Density of the material [kg/m^3]
TP.color = [0.6 0.6 0.6]; % Color [rgb]
TP.shape = [TP.rad.int TP.thickness; TP.rad.int 0; TP.rad.ext 0; TP.rad.ext TP.thickness];
%% Leg
Leg = struct();
Leg.stroke = 10e-3; % Maximum Stroke of each leg [m]
Leg.k.ax = 5e7; % Stiffness of each leg [N/m]
Leg.ksi.ax = 3; % Maximum amplification at resonance []
Leg.rad.bottom = 25; % Radius of the cylinder of the bottom part [mm]
Leg.rad.top = 17; % Radius of the cylinder of the top part [mm]
Leg.density = 8000; % Density of the material [kg/m^3]
Leg.color.bottom = [0.5 0.5 0.5]; % Color [rgb]
Leg.color.top = [0.5 0.5 0.5]; % Color [rgb]
Leg.sphere.bottom = Leg.rad.bottom; % Size of the sphere at the end of the leg [mm]
Leg.sphere.top = Leg.rad.top; % Size of the sphere at the end of the leg [mm]
Leg.m = TP.density*((pi*(TP.rad.ext/1000)^2)*(TP.thickness/1000)-(pi*(TP.rad.int/1000^2))*(TP.thickness/1000))/6; % TODO [kg]
Leg = updateDamping(Leg);
%% Sphere
SP = struct();
SP.height.bottom = 27; % [mm]
SP.height.top = 27; % [mm]
SP.density.bottom = 8000; % [kg/m^3]
SP.density.top = 8000; % [kg/m^3]
SP.color.bottom = [0.6 0.6 0.6]; % [rgb]
SP.color.top = [0.6 0.6 0.6]; % [rgb]
SP.k.ax = 0; % [N*m/deg]
SP.ksi.ax = 10;
SP.thickness.bottom = SP.height.bottom-Leg.sphere.bottom; % [mm]
SP.thickness.top = SP.height.top-Leg.sphere.top; % [mm]
SP.rad.bottom = Leg.sphere.bottom; % [mm]
SP.rad.top = Leg.sphere.top; % [mm]
SP.m = SP.density.bottom*2*pi*((SP.rad.bottom*1e-3)^2)*(SP.height.bottom*1e-3); % TODO [kg]
SP = updateDamping(SP);
%%
Leg.support.bottom = [0 SP.thickness.bottom; 0 0; SP.rad.bottom 0; SP.rad.bottom SP.height.bottom];
Leg.support.top = [0 SP.thickness.top; 0 0; SP.rad.top 0; SP.rad.top SP.height.top];
%%
stewart.BP = BP;
stewart.TP = TP;
stewart.Leg = Leg;
stewart.SP = SP;
%%
stewart = initializeParameters(stewart);
%%
save('./mat/hexapod.mat', 'stewart');
%%
function element = updateDamping(element)
field = fieldnames(element.k);
for i = 1:length(field)
element.c.(field{i}) = 1/element.ksi.(field{i})*sqrt(element.k.(field{i})/element.m);
end
end
end

93
src/initializeNanoHexapod.m
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function [stewart] = initializeNanoHexapod()
%% Stewart Object
stewart = struct();
stewart.h = 90; % Total height of the platform [mm]
stewart.jacobian = 174.5; % Point where the Jacobian is computed => Center of rotation [mm]
%% Bottom Plate
BP = struct();
BP.rad.int = 0; % Internal Radius [mm]
BP.rad.ext = 150; % External Radius [mm]
BP.thickness = 10; % Thickness [mm]
BP.leg.rad = 100; % Radius where the legs articulations are positionned [mm]
BP.leg.ang = 5; % Angle Offset [deg]
BP.density = 8000;% Density of the material [kg/m^3]
BP.color = [0.7 0.7 0.7]; % Color [rgb]
BP.shape = [BP.rad.int BP.thickness; BP.rad.int 0; BP.rad.ext 0; BP.rad.ext BP.thickness];
%% Top Plate
TP = struct();
TP.rad.int = 0; % Internal Radius [mm]
TP.rad.ext = 100; % Internal Radius [mm]
TP.thickness = 10; % Thickness [mm]
TP.leg.rad = 90; % Radius where the legs articulations are positionned [mm]
TP.leg.ang = 5; % Angle Offset [deg]
TP.density = 8000;% Density of the material [kg/m^3]
TP.color = [0.7 0.7 0.7]; % Color [rgb]
TP.shape = [TP.rad.int TP.thickness; TP.rad.int 0; TP.rad.ext 0; TP.rad.ext TP.thickness];
%% Leg
Leg = struct();
Leg.stroke = 80e-6; % Maximum Stroke of each leg [m]
Leg.k.ax = 5e7; % Stiffness of each leg [N/m]
Leg.ksi.ax = 10; % Maximum amplification at resonance []
Leg.rad.bottom = 12; % Radius of the cylinder of the bottom part [mm]
Leg.rad.top = 10; % Radius of the cylinder of the top part [mm]
Leg.density = 8000; % Density of the material [kg/m^3]
Leg.color.bottom = [0.5 0.5 0.5]; % Color [rgb]
Leg.color.top = [0.5 0.5 0.5]; % Color [rgb]
Leg.sphere.bottom = Leg.rad.bottom; % Size of the sphere at the end of the leg [mm]
Leg.sphere.top = Leg.rad.top; % Size of the sphere at the end of the leg [mm]
Leg.m = TP.density*((pi*(TP.rad.ext/1000)^2)*(TP.thickness/1000)-(pi*(TP.rad.int/1000^2))*(TP.thickness/1000))/6; % TODO [kg]
Leg = updateDamping(Leg);
%% Sphere
SP = struct();
SP.height.bottom = 15; % [mm]
SP.height.top = 15; % [mm]
SP.density.bottom = 8000; % [kg/m^3]
SP.density.top = 8000; % [kg/m^3]
SP.color.bottom = [0.7 0.7 0.7]; % [rgb]
SP.color.top = [0.7 0.7 0.7]; % [rgb]
SP.k.ax = 0; % [N*m/deg]
SP.ksi.ax = 3;
SP.thickness.bottom = SP.height.bottom-Leg.sphere.bottom; % [mm]
SP.thickness.top = SP.height.top-Leg.sphere.top; % [mm]
SP.rad.bottom = Leg.sphere.bottom; % [mm]
SP.rad.top = Leg.sphere.top; % [mm]
SP.m = SP.density.bottom*2*pi*((SP.rad.bottom*1e-3)^2)*(SP.height.bottom*1e-3); % TODO [kg]
SP = updateDamping(SP);
%%
Leg.support.bottom = [0 SP.thickness.bottom; 0 0; SP.rad.bottom 0; SP.rad.bottom SP.height.bottom];
Leg.support.top = [0 SP.thickness.top; 0 0; SP.rad.top 0; SP.rad.top SP.height.top];
%%
stewart.BP = BP;
stewart.TP = TP;
stewart.Leg = Leg;
stewart.SP = SP;
%%
stewart = initializeParameters(stewart);
%%
save('./mat/stewart.mat', 'stewart')
%%
function element = updateDamping(element)
field = fieldnames(element.k);
for i = 1:length(field)
element.c.(field{i}) = 1/element.ksi.(field{i})*sqrt(element.k.(field{i})/element.m);
end
end
end

80
src/initializeParameters.m
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function [stewart] = initializeParameters(stewart)
%% Connection points on base and top plate w.r.t. World frame at the center of the base plate
stewart.pos_base = zeros(6, 3);
stewart.pos_top = zeros(6, 3);
alpha_b = stewart.BP.leg.ang*pi/180; % angle de décalage par rapport à 120 deg (pour positionner les supports bases)
alpha_t = stewart.TP.leg.ang*pi/180; % +- offset angle from 120 degree spacing on top
height = (stewart.h-stewart.BP.thickness-stewart.TP.thickness-stewart.Leg.sphere.bottom-stewart.Leg.sphere.top-stewart.SP.thickness.bottom-stewart.SP.thickness.top)*0.001; % TODO
radius_b = stewart.BP.leg.rad*0.001; % rayon emplacement support base
radius_t = stewart.TP.leg.rad*0.001; % top radius in meters
for i = 1:3
% base points
angle_m_b = (2*pi/3)* (i-1) - alpha_b;
angle_p_b = (2*pi/3)* (i-1) + alpha_b;
stewart.pos_base(2*i-1,:) = [radius_b*cos(angle_m_b), radius_b*sin(angle_m_b), 0.0];
stewart.pos_base(2*i,:) = [radius_b*cos(angle_p_b), radius_b*sin(angle_p_b), 0.0];
% top points
% Top points are 60 degrees offset
angle_m_t = (2*pi/3)* (i-1) - alpha_t + 2*pi/6;
angle_p_t = (2*pi/3)* (i-1) + alpha_t + 2*pi/6;
stewart.pos_top(2*i-1,:) = [radius_t*cos(angle_m_t), radius_t*sin(angle_m_t), height];
stewart.pos_top(2*i,:) = [radius_t*cos(angle_p_t), radius_t*sin(angle_p_t), height];
end
% permute pos_top points so that legs are end points of base and top points
stewart.pos_top = [stewart.pos_top(6,:); stewart.pos_top(1:5,:)]; %6th point on top connects to 1st on bottom
stewart.pos_top_tranform = stewart.pos_top - height*[zeros(6, 2),ones(6, 1)];
%% leg vectors
legs = stewart.pos_top - stewart.pos_base;
leg_length = zeros(6, 1);
leg_vectors = zeros(6, 3);
for i = 1:6
leg_length(i) = norm(legs(i,:));
leg_vectors(i,:) = legs(i,:) / leg_length(i);
end
stewart.Leg.lenght = 1000*leg_length(1)/1.5;
stewart.Leg.shape.bot = [0 0; ...
stewart.Leg.rad.bottom 0; ...
stewart.Leg.rad.bottom stewart.Leg.lenght; ...
stewart.Leg.rad.top stewart.Leg.lenght; ...
stewart.Leg.rad.top 0.2*stewart.Leg.lenght; ...
0 0.2*stewart.Leg.lenght];
%% Calculate revolute and cylindrical axes
rev1 = zeros(6, 3);
rev2 = zeros(6, 3);
cyl1 = zeros(6, 3);
for i = 1:6
rev1(i,:) = cross(leg_vectors(i,:), [0 0 1]);
rev1(i,:) = rev1(i,:) / norm(rev1(i,:));
rev2(i,:) = - cross(rev1(i,:), leg_vectors(i,:));
rev2(i,:) = rev2(i,:) / norm(rev2(i,:));
cyl1(i,:) = leg_vectors(i,:);
end
%% Coordinate systems
stewart.lower_leg = struct('rotation', eye(3));
stewart.upper_leg = struct('rotation', eye(3));
for i = 1:6
stewart.lower_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)'];
stewart.upper_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)'];
end
%% Position Matrix
stewart.M_pos_base = stewart.pos_base + (height+(stewart.TP.thickness+stewart.Leg.sphere.top+stewart.SP.thickness.top+stewart.jacobian)*1e-3)*[zeros(6, 2),ones(6, 1)];
%% Compute Jacobian Matrix
aa = stewart.pos_top_tranform + (stewart.jacobian - stewart.TP.thickness - stewart.SP.height.top)*1e-3*[zeros(6, 2),ones(6, 1)];
stewart.J = getJacobianMatrix(leg_vectors', aa');
end

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src/initializeSample.m
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@ -1,10 +1,12 @@
function [] = initializeSample(opts_param) function [] = initializeSample(opts_param)
%% Default values for opts %% Default values for opts
sample = struct('radius', 100,... sample = struct( ...
'height', 300,... 'radius', 100, ... % radius of the cylinder [mm]
'mass', 50,... 'height', 300, ... % height of the cylinder [mm]
'offset', 0,... 'mass', 50, ... % mass of the cylinder [kg]
'color', [0.9 0.1 0.1] ... 'measheight', 150, ... % measurement point z-offset [mm]
'offset', [0, 0, 0], ... % offset position of the sample [mm]
'color', [0.9 0.1 0.1] ...
); );
%% Populate opts with input parameters %% Populate opts with input parameters

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44
studies/com.m Normal file
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clear; close all; clc;
%% System - center of mass in the plane of joints
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 150, 'density', 0.1));
initializeSample(struct('mass', 50, 'height', 300, 'measheight', 150));
%% Identification
G_aligned = identifyPlant();
%%
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 160, 'density', 0.1));
initializeSample(struct('mass', 50, 'height', 300, 'measheight', 160));
%% Identification
G_com = identifyPlant();
%%
freqs = logspace(0, 3, 2000);
%%
bode_opts = bodeoptions;
bode_opts.FreqUnits = 'Hz';
bode_opts.MagUnits = 'abs';
bode_opts.MagScale = 'log';
bode_opts.PhaseVisible = 'off';
%%
figure;
bode(G_aligned.G_cart, G_com.G_cart, 2*pi*freqs, bode_opts);
exportFig('G_com', 'wide-tall', struct('path', 'studies'));
%%
initializeHexapod(struct('actuator', 'piezo', 'jacobian', 150, 'density', 0.1));
initializeSample(struct('mass', 1, 'height', 300, 'measheight', 150));
%% Identification
G_massless = identifyPlant();
%%
figure;
bode(G_aligned.G_cart, G_massless.G_cart, 2*pi*freqs, bode_opts);

41
studies/coupling.m Normal file
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clear; close all; clc;
%% System - center of mass in the plane of joints
initializeHexapod(struct('actuator', 'piezo', 'jacobian', -25, 'density', 0.1));
initializeSample(struct('mass', 50, 'height', 1, 'measheight', -25, 'offset', [0, 0, -25.5]));
%% Identification
G_aligned = identifyPlant();
%%
freqs = logspace(0, 3, 2000);
%%
bode_opts = bodeoptions;
bode_opts.FreqUnits = 'Hz';
bode_opts.MagUnits = 'abs';
bode_opts.MagScale = 'log';
bode_opts.PhaseVisible = 'off';
%%
figure;
bode(G_aligned.G_legs, 2*pi*freqs, bode_opts);
%% Change height of stewart platform
for height = [50, 70, 90, 110, 130]
initializeHexapod(struct('actuator', 'piezo', 'jacobian', -25, 'density', 0.1, 'height', height));
G.(['h_' num2str(height)]) = identifyPlant();
end
%%
figure;
bode( ...
G.h_50.G_legs, ...
G.h_70.G_legs, ...
G.h_90.G_legs, ...
G.h_110.G_legs, ...
G.h_130.G_legs, ...
2*pi*freqs, bode_opts);
% legend({'60', '80', '100', '120', '140'})

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studies/stiffness_matrix.m Normal file
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%%
clear; close all; clc;
%%
K_iff = tf(zeros(6));
save('./mat/controllers.mat', 'K_iff', '-append');
%% Initialize System
hexapod = initializeHexapod(struct('actuator', 'piezo', 'jacobian', 150));
initializeSample(struct('mass', 50, 'height', 300, 'measheight', 150));
%% Identify transfer functions
G = identifyPlant();
%% Run to obtain the computed Jacobian
sim stewart_identification
%% Compare the two Jacobian matrices
J_rel = (J.data(:, :, 1)-hexapod.J)./hexapod.J;
%% Compute the Stiffness Matrix
K = hexapod.Leg.k.ax*hexapod.J'*hexapod.J;
K_id = pinv(freqresp(G.G_cart, 0));
K_rel = (K-K_id)./K;

4
study_architecture.m
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@ -1,12 +1,8 @@
%% Script Description
%
%% %%
clear; close all; clc; clear; close all; clc;
%% %%
run stewart_parameters.m run stewart_parameters.m
format shortE
%% Study the effect of the radius of the top platform position of the legs %% Study the effect of the radius of the top platform position of the legs
leg_radius = 50:1:120; leg_radius = 50:1:120;