Tomography Experiment with and without disturbances
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@@ -43,7 +43,7 @@
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* Functions
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<<sec:functions>>
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** computePsdDispl
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** TODO computePsdDispl
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/computePsdDispl.m
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:header-args:matlab+: :comments none :mkdirp yes :eval no
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@@ -78,7 +78,7 @@ This Matlab function is accessible [[file:../src/computePsdDispl.m][here]].
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end
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#+end_src
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** computeSetpoint
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** TODO computeSetpoint
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/computeSetpoint.m
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:header-args:matlab+: :comments none :mkdirp yes :eval no
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@@ -149,7 +149,7 @@ This Matlab function is accessible [[file:../src/computeSetpoint.m][here]].
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end
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#+end_src
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** converErrorBasis
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** TODO converErrorBasis
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/converErrorBasis.m
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:header-args:matlab+: :comments none :mkdirp yes :eval no
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@@ -286,127 +286,6 @@ This Matlab function is accessible [[file:../src/converErrorBasis.m][here]].
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end
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#+end_src
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** generateDiagPidControl
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/generateDiagPidControl.m
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:header-args:matlab+: :comments none :mkdirp yes :eval no
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:END:
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<<sec:generateDiagPidControl>>
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This Matlab function is accessible [[file:../src/generateDiagPidControl.m][here]].
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#+begin_src matlab
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function [K] = generateDiagPidControl(G, fs)
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%%
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pid_opts = pidtuneOptions(...
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'PhaseMargin', 50, ...
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'DesignFocus', 'disturbance-rejection');
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%%
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K = tf(zeros(6));
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for i = 1:6
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input_name = G.InputName(i);
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output_name = G.OutputName(i);
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K(i, i) = tf(pidtune(minreal(G(output_name, input_name)), 'PIDF', 2*pi*fs, pid_opts));
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end
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K.InputName = G.OutputName;
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K.OutputName = G.InputName;
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end
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#+end_src
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** identifyPlant
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/identifyPlant.m
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:header-args:matlab+: :comments none :mkdirp yes :eval no
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:END:
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<<sec:identifyPlant>>
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This Matlab function is accessible [[file:../src/identifyPlant.m][here]].
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#+begin_src matlab
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function [sys] = identifyPlant(opts_param)
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%% Default values for opts
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opts = struct();
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%% Populate opts with input parameters
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if exist('opts_param','var')
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for opt = fieldnames(opts_param)'
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opts.(opt{1}) = opts_param.(opt{1});
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end
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end
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%% Options for Linearized
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options = linearizeOptions;
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options.SampleTime = 0;
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%% Name of the Simulink File
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mdl = 'sim_nano_station_id';
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%% Input/Output definition
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io(1) = linio([mdl, '/Fn'], 1, 'input'); % Cartesian forces applied by NASS
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io(2) = linio([mdl, '/Dw'], 1, 'input'); % Ground Motion
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io(3) = linio([mdl, '/Fs'], 1, 'input'); % External forces on the sample
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io(4) = linio([mdl, '/Fnl'], 1, 'input'); % Forces applied on the NASS's legs
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io(5) = linio([mdl, '/Fd'], 1, 'input'); % Disturbance Forces
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io(6) = linio([mdl, '/Dsm'], 1, 'output'); % Displacement of the sample
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io(7) = linio([mdl, '/Fnlm'], 1, 'output'); % Force sensor in NASS's legs
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io(8) = linio([mdl, '/Dnlm'], 1, 'output'); % Displacement of NASS's legs
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io(9) = linio([mdl, '/Es'], 1, 'output'); % Position Error w.r.t. NASS base
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io(10) = linio([mdl, '/Vlm'], 1, 'output'); % Measured absolute velocity of the legs
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%% Run the linearization
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G = linearize(mdl, io, options);
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G.InputName = {'Fnx', 'Fny', 'Fnz', 'Mnx', 'Mny', 'Mnz', ...
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'Dgx', 'Dgy', 'Dgz', ...
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'Fsx', 'Fsy', 'Fsz', 'Msx', 'Msy', 'Msz', ...
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'F1', 'F2', 'F3', 'F4', 'F5', 'F6', ...
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'Frzz', 'Ftyx', 'Ftyz'};
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G.OutputName = {'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz', ...
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'Fm1', 'Fm2', 'Fm3', 'Fm4', 'Fm5', 'Fm6', ...
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'Dm1', 'Dm2', 'Dm3', 'Dm4', 'Dm5', 'Dm6', ...
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'Edx', 'Edy', 'Edz', 'Erx', 'Ery', 'Erz', ...
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'Vm1', 'Vm2', 'Vm3', 'Vm4', 'Vm5', 'Vm6'};
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%% Create the sub transfer functions
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minreal_tol = sqrt(eps);
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% From forces applied in the cartesian frame to displacement of the sample in the cartesian frame
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sys.G_cart = minreal(G({'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'}, {'Fnx', 'Fny', 'Fnz', 'Mnx', 'Mny', 'Mnz'}), minreal_tol, false);
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% From ground motion to Sample displacement
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sys.G_gm = minreal(G({'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'}, {'Dgx', 'Dgy', 'Dgz'}), minreal_tol, false);
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% From direct forces applied on the sample to displacement of the sample
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sys.G_fs = minreal(G({'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'}, {'Fsx', 'Fsy', 'Fsz', 'Msx', 'Msy', 'Msz'}), minreal_tol, false);
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% From forces applied on NASS's legs to force sensor in each leg
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sys.G_iff = minreal(G({'Fm1', 'Fm2', 'Fm3', 'Fm4', 'Fm5', 'Fm6'}, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}), minreal_tol, false);
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% From forces applied on NASS's legs to displacement of each leg
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sys.G_dleg = minreal(G({'Dm1', 'Dm2', 'Dm3', 'Dm4', 'Dm5', 'Dm6'}, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}), minreal_tol, false);
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% From forces/torques applied by the NASS to position error
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sys.G_plant = minreal(G({'Edx', 'Edy', 'Edz', 'Erx', 'Ery', 'Erz'}, {'Fnx', 'Fny', 'Fnz', 'Mnx', 'Mny', 'Mnz'}), minreal_tol, false);
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% From forces/torques applied by the NASS to velocity of the actuator
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sys.G_geoph = minreal(G({'Vm1', 'Vm2', 'Vm3', 'Vm4', 'Vm5', 'Vm6'}, {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}), minreal_tol, false);
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% From various disturbance forces to position error
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sys.G_dist = minreal(G({'Dx', 'Dy', 'Dz', 'Rx', 'Ry', 'Rz'}, {'Frzz', 'Ftyx', 'Ftyz'}), minreal_tol, false);
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%% We remove low frequency and high frequency dynamics that are usually unstable
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% using =freqsep= is risky as it may change the shape of the transfer functions
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% f_min = 0.1; % [Hz]
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% f_max = 1e4; % [Hz]
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% [~, sys.G_cart] = freqsep(freqsep(sys.G_cart, 2*pi*f_max), 2*pi*f_min);
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% [~, sys.G_gm] = freqsep(freqsep(sys.G_gm, 2*pi*f_max), 2*pi*f_min);
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% [~, sys.G_fs] = freqsep(freqsep(sys.G_fs, 2*pi*f_max), 2*pi*f_min);
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% [~, sys.G_iff] = freqsep(freqsep(sys.G_iff, 2*pi*f_max), 2*pi*f_min);
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% [~, sys.G_dleg] = freqsep(freqsep(sys.G_dleg, 2*pi*f_max), 2*pi*f_min);
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% [~, sys.G_plant] = freqsep(freqsep(sys.G_plant, 2*pi*f_max), 2*pi*f_min);
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%% We finally verify that the system is stable
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if ~isstable(sys.G_cart) || ~isstable(sys.G_gm) || ~isstable(sys.G_fs) || ~isstable(sys.G_iff) || ~isstable(sys.G_dleg) || ~isstable(sys.G_plant)
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warning('One of the identified system is unstable');
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end
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end
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#+end_src
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** Inverse Kinematics of the Hexapod
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:PROPERTIES:
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:header-args:matlab+: :tangle ../src/inverseKinematicsHexapod.m
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