[WIP] Add src folder, change damping of system
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<?xml version='1.0' encoding='UTF-8'?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design" />
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</Category>
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</Info>
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<?xml version='1.0' encoding='UTF-8'?>
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<Info Ref="Identification" Type="Relative" />
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<?xml version='1.0' encoding='UTF-8'?>
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<Info Ref="src" Type="Relative" />
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<?xml version='1.0' encoding='UTF-8'?>
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<Info Ref="Analysis" Type="Relative" />
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BIN
Assemblage.slx
BIN
Assemblage.slx
Binary file not shown.
@ -1,55 +1,34 @@
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%% Define options for bode plots
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bode_opts = bodeoptions;
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bode_opts.Title.FontSize = 12;
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bode_opts.XLabel.FontSize = 12;
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bode_opts.YLabel.FontSize = 12;
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bode_opts.FreqUnits = 'Hz';
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bode_opts.MagUnits = 'abs';
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bode_opts.MagScale = 'log';
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bode_opts.PhaseWrapping = 'on';
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bode_opts.PhaseVisible = 'on';
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%%
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%%
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load('../mat/G_f_to_d.mat', 'G_f_to_d');
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load('./mat/G_f_to_d.mat', 'G_f_to_d');
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%%
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%%
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G = G_f_to_d(2, 2);
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G = G_f_to_d(2, 2);
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%% Some post processing of the plant
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[G, ~] = freqsep(G, 2*pi*1000);
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[~, G] = freqsep(G, 2*pi*1);
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%% Verify the post processing
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figure;
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bode(G, G_f_to_d(2, 2));
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%% Try sisotool
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%% Try sisotool
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sisotool(G)
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sisotool(G)
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%%
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%%
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gain = 1e8;
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gain = 1e9;
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%%
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%%
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figure;
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bodeFig({gain*G}, struct('phase', true))
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bode(gain*G, bode_opts)
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%%
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%%
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[~,~,~,Wpm] = margin(gain*G);
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[~,~,~,Wpm] = margin(gain*G);
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% Wpm = 180*2*pi;
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Wpm = 200*2*pi;
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%%
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%%
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s = tf('s');
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s = tf('s');
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Ky = gain*(s/(0.2*Wpm)+1)/(s/(10*Wpm)+1)/(1+s/(2*pi*100));%*(s+2*pi*10)/(s+2*pi*0.0001);
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C = gain*(s/(0.2*Wpm)+1)/(s/(10*Wpm)+1)/(1+s/(2*pi*100));%*(s+2*pi*10)/(s+2*pi*0.0001);
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%% Compute Closed loop transfer function
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%% Compute Closed loop transfer function
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figure;
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bodeFig({C*G}, struct('phase', true))
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bode(Ky*G, bode_opts)
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%%
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%%
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K = tf(zeros(6));
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K = tf(zeros(6));
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K(2,2) = Ky;
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K(2,2) = C;
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%%
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%%
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save('../mat/controller.mat', 'K')
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save('./mat/controller.mat', 'K')
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@ -1,25 +1,11 @@
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%% Script Description
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%% Script Description
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%
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%
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%%
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%%
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clear;
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clear; close all; clc;
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close all;
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clc
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%% Define options for bode plots
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bode_opts = bodeoptions;
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bode_opts.Title.FontSize = 12;
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bode_opts.XLabel.FontSize = 12;
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bode_opts.YLabel.FontSize = 12;
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bode_opts.FreqUnits = 'Hz';
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bode_opts.MagUnits = 'abs';
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bode_opts.MagScale = 'log';
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bode_opts.PhaseWrapping = 'on';
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bode_opts.PhaseVisible = 'on';
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%% Options for preprocessing the identified transfer functions
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%% Options for preprocessing the identified transfer functions
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f_low = 10;
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f_low = 10;
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f_high = 1000;
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f_high = 10000;
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%% Options for Linearized
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%% Options for Linearized
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options = linearizeOptions;
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options = linearizeOptions;
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@ -28,21 +14,23 @@ options.SampleTime = 0;
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%% Name of the Simulink File
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%% Name of the Simulink File
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mdl = 'Assemblage';
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mdl = 'Assemblage';
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%% Y-Translation Stage
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%% NASS
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/Fnass_cart'],1,'input');
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io(1) = linio([mdl, '/Micro-Station/Fn'],1,'input');
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io(2) = linio([mdl, '/Sample'],1,'output');
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io(2) = linio([mdl, '/Micro-Station/Nano_Hexapod'],1,'output');
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% Run the linearization
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% Run the linearization
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G_f_to_d = linearize(mdl,io, 0);
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G_f_to_d = linearize(mdl,io, 0);
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G_f_to_d = preprocessIdTf(G_f_to_d, 10, 10000);
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% Input/Output names
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% Input/Output names
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G_f_to_d.InputName = {'Fy'};
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G_f_to_d.InputName = {'Fx', 'Fy', 'Fz', 'Mx', 'My', 'Mz'};
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G_f_to_d.OutputName = {'Dy'};
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G_f_to_d.OutputName = {'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_f_to_d(1, 1), G_f_to_d(2, 2), G_f_to_d(3, 3)}, struct('phase', true))
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bode(G_f_to_d(2, 2), bode_opts)
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legend({'$F_{n_x} \rightarrow D_{x}$', '$F_{n_y} \rightarrow D_{y}$', '$F_{n_z} \rightarrow D_{z}$'})
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%%
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%%
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save('../mat/G_f_to_d.mat', 'G_f_to_d');
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save('./mat/G_f_to_d.mat', 'G_f_to_d');
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% Save all computed transfer functions into one .mat file
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% Save all computed transfer functions into one .mat file
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%%
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%%
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clear;
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clear; close all; clc;
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close all;
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clc
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%% Define options for bode plots
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bode_opts = bodeoptions;
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bode_opts.Title.FontSize = 12;
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bode_opts.XLabel.FontSize = 12;
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bode_opts.YLabel.FontSize = 12;
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bode_opts.FreqUnits = 'Hz';
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bode_opts.MagUnits = 'abs';
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bode_opts.MagScale = 'log';
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bode_opts.PhaseWrapping = 'on';
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bode_opts.PhaseVisible = 'off';
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%% Options for preprocessing the identified transfer functions
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%% Options for preprocessing the identified transfer functions
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f_low = 10;
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f_low = 10; % [Hz]
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f_high = 1000;
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f_high = 10000; % [Hz]
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%% Options for Linearized
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%% Options for Linearized
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options = linearizeOptions;
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options = linearizeOptions;
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%% Y-Translation Stage
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%% Y-Translation Stage
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/Fy'],1,'input');
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io(1) = linio([mdl, '/Fy'],1,'input');
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io(2) = linio([mdl, '/Translation y'],1,'output');
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io(2) = linio([mdl, '/Dy_meas'],1,'output');
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% Run the linearization
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% Run the linearization
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G_ty_raw = linearize(mdl,io, 0);
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G_ty_raw = linearize(mdl,io, 0);
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@ -46,13 +32,14 @@ G_ty.InputName = {'Fy'};
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G_ty.OutputName = {'Dy'};
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G_ty.OutputName = {'Dy'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_ty}, struct('phase', true))
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bode(G_ty, bode_opts)
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legend({'$F_{y} \rightarrow D_{y}$'})
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exportFig('id_ty', 'normal-normal')
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%% Tilt Stage
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%% Tilt Stage
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/My'],1,'input');
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io(1) = linio([mdl, '/My'],1,'input');
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io(2) = linio([mdl, '/Tilt'],1,'output');
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io(2) = linio([mdl, '/Ry_meas'],1,'output');
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% Run the linearization
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% Run the linearization
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G_ry_raw = linearize(mdl,io, 0);
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G_ry_raw = linearize(mdl,io, 0);
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@ -65,14 +52,14 @@ G_ry.InputName = {'My'};
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G_ry.OutputName = {'Ry'};
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G_ry.OutputName = {'Ry'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_ry}, struct('phase', true))
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bode(G_ry, bode_opts)
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legend({'$M_{y} \rightarrow R_{y}$'})
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exportFig('id_ry', 'normal-normal')
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%% Spindle
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%% Spindle
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/Mz'],1,'input');
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io(1) = linio([mdl, '/Mz'],1,'input');
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io(2) = linio([mdl, '/Spindle'],1,'output');
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io(2) = linio([mdl, '/Rz_meas'],1,'output');
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% Run the linearization
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% Run the linearization
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G_rz_raw = linearize(mdl,io, 0);
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G_rz_raw = linearize(mdl,io, 0);
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@ -85,14 +72,14 @@ G_rz.InputName = {'Mz'};
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G_rz.OutputName = {'Rz'};
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G_rz.OutputName = {'Rz'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_rz}, struct('phase', true))
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bode(G_rz, bode_opts)
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legend({'$M_{z} \rightarrow R_{z}$'})
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exportFig('id_ry', 'normal-normal')
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%% Hexapod Symetrie
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%% Hexapod Symetrie
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/Fhexa_cart'],1,'input');
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io(1) = linio([mdl, '/Fhexa_cart'],1,'input');
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io(2) = linio([mdl, '/Hexapod Symetrie'],1,'output');
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io(2) = linio([mdl, '/Dm_meas'],1,'output');
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% Run the linearization
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% Run the linearization
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G_hexa_raw = linearize(mdl,io, 0);
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G_hexa_raw = linearize(mdl,io, 0);
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@ -102,19 +89,28 @@ G_hexa = preprocessIdTf(G_hexa_raw, f_low, f_high);
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% Input/Output names
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% Input/Output names
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G_hexa.InputName = {'Fhexa_x', 'Fhexa_y', 'Fhexa_z', 'Mhexa_x', 'Mhexa_y', 'Mhexa_z'};
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G_hexa.InputName = {'Fhexa_x', 'Fhexa_y', 'Fhexa_z', 'Mhexa_x', 'Mhexa_y', 'Mhexa_z'};
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G_hexa.OutputName = {'Dhexa_x', 'Dhexa_y', 'Dhexa_z', 'Dhexa_x', 'Dhexa_y', 'Dhexa_z'};
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G_hexa.OutputName = {'Dhexa_x', 'Dhexa_y', 'Dhexa_z', 'Rhexa_x', 'Rhexa_y', 'Rhexa_z'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_hexa(1, 1), G_hexa(2, 2), G_hexa(3, 3)}, struct('phase', true))
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bode(G_hexa, bode_opts)
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legend({'$F_{h_x} \rightarrow D_{h_x}$', '$F_{h_y} \rightarrow D_{h_y}$', '$F_{h_z} \rightarrow D_{h_z}$'})
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exportFig('id_hexapod_trans', 'normal-normal')
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bodeFig({G_hexa(4, 4), G_hexa(5, 5), G_hexa(6, 6)}, struct('phase', true))
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legend({'$M_{h_x} \rightarrow R_{h_x}$', '$M_{h_y} \rightarrow R_{h_y}$', '$M_{h_z} \rightarrow R_{h_z}$'})
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exportFig('id_hexapod_rot', 'normal-normal')
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bodeFig({G_hexa(1, 1), G_hexa(2, 1), G_hexa(3, 1)}, struct('phase', true))
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legend({'$F_{h_x} \rightarrow D_{h_x}$', '$F_{h_x} \rightarrow D_{h_y}$', '$F_{h_x} \rightarrow D_{h_z}$'})
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exportFig('id_hexapod_coupling', 'normal-normal')
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%% NASS
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%% NASS
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% Input/Output definition
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% Input/Output definition
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io(1) = linio([mdl, '/Fnass_cart'],1,'input');
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io(1) = linio([mdl, '/Fnass_cart'],1,'input');
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io(2) = linio([mdl, '/NASS'],1,'output');
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io(2) = linio([mdl, '/Dn_meas'],1,'output');
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% Run the linearization
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% Run the linearization
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G_nass_raw = linearize(mdl,io, 0);
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c = linearize(mdl,io, 0);
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% Post-process the linearized function
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% Post-process the linearized function
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G_nass = preprocessIdTf(G_nass_raw, f_low, f_high);
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G_nass = preprocessIdTf(G_nass_raw, f_low, f_high);
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@ -124,8 +120,17 @@ G_nass.InputName = {'Fnass_x', 'Fnass_y', 'Fnass_z', 'Mnass_x', 'Mnass_y', 'Mna
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G_nass.OutputName = {'Dnass_x', 'Dnass_y', 'Dnass_z', 'Dnass_x', 'Dnass_y', 'Dnass_z'};
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G_nass.OutputName = {'Dnass_x', 'Dnass_y', 'Dnass_z', 'Dnass_x', 'Dnass_y', 'Dnass_z'};
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% Bode Plot of the linearized function
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% Bode Plot of the linearized function
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figure;
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bodeFig({G_nass(1, 1), G_nass(2, 2), G_nass(3, 3)}, struct('phase', true))
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bode(G_nass, bode_opts)
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legend({'$F_{n_x} \rightarrow D_{n_x}$', '$F_{n_y} \rightarrow D_{n_y}$', '$F_{n_z} \rightarrow D_{n_z}$'})
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exportFig('id_nass_trans', 'normal-normal')
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bodeFig({G_nass(4, 4), G_nass(5, 5), G_nass(6, 6)}, struct('phase', true))
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legend({'$M_{n_x} \rightarrow R_{n_x}$', '$M_{n_y} \rightarrow R_{n_y}$', '$M_{n_z} \rightarrow R_{n_z}$'})
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exportFig('id_nass_rot', 'normal-normal')
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bodeFig({G_nass(1, 1), G_nass(2, 1), G_nass(3, 1)}, struct('phase', true))
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legend({'$F_{n_x} \rightarrow D_{n_x}$', '$F_{n_x} \rightarrow D_{n_y}$', '$F_{n_x} \rightarrow D_{n_z}$'})
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exportFig('id_nass_coupling', 'normal-normal')
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%% Save all transfer function
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%% Save all transfer function
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save('../mat/identified_tf.mat', 'G_ty', 'G_ry', 'G_rz', 'G_hexa', 'G_nass')
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save('../mat/identified_tf.mat', 'G_ty', 'G_ry', 'G_rz', 'G_hexa', 'G_nass')
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thetax=atan2(-R(2,3),R(3,3));
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thetay=atan2(R(1,3),sqrt((R(1,1))^2+(R(1,2))^2));
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thetaz=atan2(-R(1,2),R(1,1));
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20
init_data.m
20
init_data.m
@ -11,7 +11,7 @@ granite = struct();
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granite.m = smiData.Solid(5).mass;
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granite.m = smiData.Solid(5).mass;
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granite.k.ax = 1e8; % x-y-z Stiffness of the granite [N/m]
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granite.k.ax = 1e8; % x-y-z Stiffness of the granite [N/m]
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granite.ksi.ax = 10;
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granite.ksi.ax = 1;
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granite = updateDamping(granite);
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granite = updateDamping(granite);
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@ -23,8 +23,8 @@ ty.m = smiData.Solid(4).mass+smiData.Solid(6).mass+smiData.Solid(7).mass+smiData
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ty.k.ax = 1e7/4; % Axial Stiffness for each of the 4 guidance (y) [N/m]
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ty.k.ax = 1e7/4; % Axial Stiffness for each of the 4 guidance (y) [N/m]
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ty.k.rad = 9e9/4; % Radial Stiffness for each of the 4 guidance (x-z) [N/m]
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ty.k.rad = 9e9/4; % Radial Stiffness for each of the 4 guidance (x-z) [N/m]
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ty.ksi.ax = 10;
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ty.ksi.ax = 0.05;
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ty.ksi.rad = 10;
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ty.ksi.rad = 1;
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ty = updateDamping(ty);
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ty = updateDamping(ty);
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@ -38,14 +38,13 @@ ry.k.rad = 555e6/4; % Stiffness in the top direction [N/m]
|
|||||||
ry.k.rrad = 238e6/4; % Stiffness in the side direction [N/m]
|
ry.k.rrad = 238e6/4; % Stiffness in the side direction [N/m]
|
||||||
ry.k.tilt = 1e4 ; % Rotation stiffness around y [N*m/deg]
|
ry.k.tilt = 1e4 ; % Rotation stiffness around y [N*m/deg]
|
||||||
|
|
||||||
ry.ksi.h = 10;
|
ry.ksi.h = 1;
|
||||||
ry.ksi.rad = 10;
|
ry.ksi.rad = 1;
|
||||||
ry.ksi.rrad = 10;
|
ry.ksi.rrad = 1;
|
||||||
ry.ksi.tilt = 10;
|
ry.ksi.tilt = 1;
|
||||||
|
|
||||||
ry = updateDamping(ry);
|
ry = updateDamping(ry);
|
||||||
|
|
||||||
|
|
||||||
%% Spindle
|
%% Spindle
|
||||||
rz = struct();
|
rz = struct();
|
||||||
|
|
||||||
@ -56,8 +55,8 @@ rz.k.rad = 7e8; % Radial Stiffness [N/m]
|
|||||||
rz.k.tilt = 1e5; % TODO
|
rz.k.tilt = 1e5; % TODO
|
||||||
rz.k.rot = 1e5; % Rotational Stiffness [N*m/deg]
|
rz.k.rot = 1e5; % Rotational Stiffness [N*m/deg]
|
||||||
|
|
||||||
rz.ksi.ax = 10;
|
rz.ksi.ax = 1;
|
||||||
rz.ksi.rad = 10;
|
rz.ksi.rad = 1;
|
||||||
rz.ksi.tilt = 1;
|
rz.ksi.tilt = 1;
|
||||||
rz.ksi.rot = 1;
|
rz.ksi.rot = 1;
|
||||||
|
|
||||||
@ -96,5 +95,6 @@ function element = updateDamping(element)
|
|||||||
field = fieldnames(element.k);
|
field = fieldnames(element.k);
|
||||||
for i = 1:length(field)
|
for i = 1:length(field)
|
||||||
element.c.(field{i}) = 1/element.ksi.(field{i})*sqrt(element.k.(field{i})/element.m);
|
element.c.(field{i}) = 1/element.ksi.(field{i})*sqrt(element.k.(field{i})/element.m);
|
||||||
|
% element.c.(field{i}) = element.k.(field{i})/1000;
|
||||||
end
|
end
|
||||||
end
|
end
|
||||||
|
@ -8,7 +8,7 @@ time_vector = 0:Ts:Tsim;
|
|||||||
%% Set point [m, rad]
|
%% Set point [m, rad]
|
||||||
setpoint = zeros(length(time_vector), 6);
|
setpoint = zeros(length(time_vector), 6);
|
||||||
|
|
||||||
% setpoint(ceil(1/Ts):end, 2) = 1e-6;
|
% setpoint(ceil(10/Ts):end, 2) = 1e-6; % Step of 1 micro-meter in y direction
|
||||||
|
|
||||||
r_setpoint = timeseries(setpoint, time_vector);
|
r_setpoint = timeseries(setpoint, time_vector);
|
||||||
|
|
||||||
@ -30,30 +30,38 @@ r_Gm = timeseries(xg, time_vector);
|
|||||||
% plot(r_Gm)
|
% plot(r_Gm)
|
||||||
|
|
||||||
%% Translation stage [m]
|
%% Translation stage [m]
|
||||||
r_Ty = timeseries(zeros(length(time_vector), 1), time_vector);
|
ty = zeros(length(time_vector), 1);
|
||||||
|
|
||||||
|
r_Ty = timeseries(ty, time_vector);
|
||||||
|
|
||||||
%% Tilt Stage [rad]
|
%% Tilt Stage [rad]
|
||||||
% r_tilt = zeros(length(time_vector), 1);
|
r_tilt = zeros(length(time_vector), 1);
|
||||||
|
|
||||||
r_tilt = 3*2*pi/360*sin(2*pi*0.5*time_vector);
|
% r_tilt = 3*(2*pi/360)*sin(2*pi*0.2*time_vector);
|
||||||
|
|
||||||
r_My = timeseries(r_tilt, time_vector);
|
r_My = timeseries(r_tilt, time_vector);
|
||||||
|
|
||||||
%% Spindle [rad]
|
%% Spindle [rad]
|
||||||
% r_spindle = zeros(length(time_vector), 1);
|
r_spindle = zeros(length(time_vector), 1);
|
||||||
|
|
||||||
r_spindle = 2*pi*time_vector;
|
% r_spindle = 2*pi*0.5*time_vector;
|
||||||
|
|
||||||
r_Mz = timeseries(r_spindle, time_vector);
|
r_Mz = timeseries(r_spindle, time_vector);
|
||||||
|
|
||||||
%% Micro Hexapod
|
%% Micro Hexapod
|
||||||
r_u_hexa = timeseries(zeros(length(time_vector), 6), time_vector);
|
u_hexa = zeros(length(time_vector), 6);
|
||||||
|
|
||||||
|
r_u_hexa = timeseries(u_hexa, time_vector);
|
||||||
|
|
||||||
%% Center of gravity compensation
|
%% Center of gravity compensation
|
||||||
r_mass = timeseries(zeros(length(time_vector), 2), time_vector);
|
mass = zeros(length(time_vector), 2);
|
||||||
|
|
||||||
|
r_mass = timeseries(mass, time_vector);
|
||||||
|
|
||||||
%% Nano Hexapod
|
%% Nano Hexapod
|
||||||
r_n_hexa = timeseries(zeros(length(time_vector), 6), time_vector);
|
n_hexa = zeros(length(time_vector), 6);
|
||||||
|
|
||||||
|
r_n_hexa = timeseries(n_hexa, time_vector);
|
||||||
|
|
||||||
%%
|
%%
|
||||||
save('./mat/inputs_setpoint.mat', 'r_setpoint', 'r_Gm', 'r_Ty', 'r_My', 'r_u_hexa', 'r_mass', 'r_n_hexa');
|
save('./mat/inputs_setpoint.mat', 'r_setpoint', 'r_Gm', 'r_Ty', 'r_My', 'r_Mz', 'r_u_hexa', 'r_mass', 'r_n_hexa');
|
@ -1,6 +1,6 @@
|
|||||||
%% Solver Configuration
|
%% Solver Configuration
|
||||||
Ts = 1e-4; % Sampling time [s]
|
Ts = 1e-4; % Sampling time [s]
|
||||||
Tsim = 5; % Simulation time [s]
|
Tsim = 10; % Simulation time [s]
|
||||||
|
|
||||||
%% Gravity
|
%% Gravity
|
||||||
g = 0 ; % Gravity along the z axis [m/s^2]
|
g = 0 ; % Gravity along the z axis [m/s^2]
|
||||||
|
BIN
mat/G_f_to_d.mat
BIN
mat/G_f_to_d.mat
Binary file not shown.
Binary file not shown.
Binary file not shown.
5
src/preprocessIdTf.m
Normal file
5
src/preprocessIdTf.m
Normal file
@ -0,0 +1,5 @@
|
|||||||
|
function [G] = preprocessIdTf(G0, f_low, f_high)
|
||||||
|
[~,G1] = freqsep(G0, 2*pi*f_low);
|
||||||
|
[G2,~] = freqsep(G1, 2*pi*f_high);
|
||||||
|
G = minreal(G2);
|
||||||
|
end
|
@ -1 +1 @@
|
|||||||
Subproject commit 17c9de54fb551cb5280283186ca58d4a7f48c39c
|
Subproject commit 6fe96032fd93d81cfcb6c78fea8a79bb586dd488
|
Loading…
Reference in New Issue
Block a user