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Multivariable-Control-Systems/HW4.m
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close all;clear all; | |
A=[0 1 0 0 0 0; | |
-5.5 -0.3 5 0.1 0 0; | |
0 0 0 1 0 0; | |
5 0.1 -10 -0.4 5 0.1; | |
0 0 0 0 0 1; | |
0 0 5 0.1 -5 -0.3]; | |
B2=[0 0; | |
1 0; | |
0 0; | |
0 1; | |
0 0; | |
0 0]; | |
C2=[0 0 0 0 1 0; | |
1 0 0 0 0 0]; | |
D22=zeros(2); | |
sys=ss(A,B2,C2,D22); | |
G=tf(sys); | |
%% | |
% set sampling time and total time (and # of samples) | |
ts=.001;T=50;Ns=fix(T/ts); % 1ms sampling period | |
% maximum frequency separation of | |
fmax=1/ts*(Ns/2-1)/Ns;fs=1/ts/Ns; % 1/2 of the frequency response | |
% due to symmetry | |
% set excitation frequency band 0-5Hz | |
fband=50; | |
Nband=fix(fband/fs); | |
% set desired magnitude | |
uf_mag=zeros(1,Ns/2); | |
uf_mag(1:Nband)=1; | |
usat=10; | |
[u_schroed,t,mags,phs]=schroed(ts,Ns,uf_mag,usat); | |
%% | |
tvec=(0:Ns-1)*ts; | |
figure,plot(tvec,u_schroed); | |
title('Schroder phase signal (time domain)'); | |
xlabel('time (sec)');ylabel('input (N)') | |
fvec=(0:Ns/2-1)*fs; | |
fvec_band=fvec(1:Nband); | |
u_f=t2f(u_schroed)*ts; | |
figure,plot(fvec,abs(u_f),'x'); | |
axis([0 10 0 35]) | |
title('Schroder phase signal (frequency domain)'); | |
xlabel('frequency (Hz)');ylabel('input magnitude') | |
figure,plot(fvec,unwrap(angle(u_f)),'o'); | |
axis([0 10 0 200]) | |
title('Schroder phase signal (frequency domain)'); | |
xlabel('frequency (Hz)');ylabel('input phase') | |
%% | |
% excite each input channel | |
numrun=10; | |
u_std=1; | |
y_std=0.04; | |
u_excite=kron(ones(numrun,1),u_schroed')'; | |
tvec_numrun=(0:numrun*Ns-1)*ts; | |
u_noise1=randn(1,length(tvec)*numrun)*u_std; | |
y_noise1=randn(1,length(tvec)*numrun)*y_std; | |
y_u1_full=lsim(G(:,1),u_excite+u_noise1,tvec_numrun)+y_noise1'; | |
u_noise2=randn(1,length(tvec)*numrun)*u_std; | |
y_noise2=randn(1,length(tvec)*numrun)*y_std; | |
y_u2_full=lsim(G(:,2),u_excite+u_noise2,tvec_numrun)+y_noise2'; | |
y1_u1=mean(reshape(y_u1_full(:,1),Ns,numrun)'); | |
y2_u1=mean(reshape(y_u1_full(:,2),Ns,numrun)'); | |
y1_u2=mean(reshape(y_u2_full(:,1),Ns,numrun)'); | |
y2_u2=mean(reshape(y_u2_full(:,2),Ns,numrun)'); | |
figure,plot(tvec,y1_u1,tvec,y1_u2,tvec,y2_u1,tvec,y2_u2); | |
y11=t2f(y1_u1)*ts/abs(u_f(2)); | |
y21=t2f(y2_u1)*ts/abs(u_f(2)); | |
y12=t2f(y1_u2)*ts/abs(u_f(2)); | |
y22=t2f(y2_u2)*ts/abs(u_f(2)); | |
[mag,phase]=bode(G,2*pi*fvec); | |
figure(21),semilogx(fvec,squeeze(mag(1,1,:)),'o',fvec,abs(y11),'x'); | |
figure(22),semilogx(fvec,squeeze(mag(2,1,:)),'o',fvec,abs(y21),'x'); | |
figure(23),semilogx(fvec,squeeze(mag(1,2,:)),'o',fvec,abs(y12),'x'); | |
figure(24),semilogx(fvec,squeeze(mag(2,2,:)),'o',fvec,abs(y22),'x'); | |
%% | |
% frd object | |
fid_band=15; | |
Nid_band=fix(fid_band/fs); | |
G_freq=zeros(2,2,Nid_band); | |
G_freq(1,1,:)=y11(1:Nid_band); | |
G_freq(1,2,:)=y12(1:Nid_band); | |
G_freq(2,1,:)=y21(1:Nid_band); | |
G_freq(2,2,:)=y22(1:Nid_band); | |
G_frd=frd(G_freq,fvec(1:Nid_band),'frequencyunit','Hz'); | |
figure(25),bode(G,G_frd) | |
%% | |
% sysid toolbox (frequency domain) | |
dat_f=iddata(G_frd,'Domain','Frequency'); | |
G_est_f=ssest(dat_f,6); | |
figure(26);compare(dat_f,G_est_f); | |
figure(27);bode(G,G_est_f);legend('true','identified'); | |
%% | |
% sysid toolbox (time domain) | |
u_in=[u_excite;u_excite]; | |
y_full=lsim(G,u_in,tvec_numrun)+[y_noise1' y_noise2']; | |
y1=mean(reshape(y_full(:,1),Ns,numrun)'); | |
y2=mean(reshape(y_full(:,2),Ns,numrun)'); | |
dat=iddata([y1' y2'],[u_schroed' u_schroed'],ts); | |
G_est=ssest(dat,6,'Ts',ts); | |
figure(30),compare(dat,G_est); | |
G_disc=ss(G_est.a,G_est.b,G_est.c,G_est.d,ts); | |
G_cont=d2c(G_disc,'tustin'); | |
figure(31);bode(G,G_cont);legend('true','id'); | |
%% | |
%Uncertainty Analysis | |
norm(G_est_f-G_cont,'inf') | |
eps1=1;eps2=1; | |
%% | |
%Controller Design | |
B=[zeros(6,3) G_est.B]; | |
C=[zeros(3,6);G_est.C]; | |
D11=[zeros(3,3)]; %3x3 | |
D12=[zeros(1,2);diag([eps1,eps2])]; %2x3 | |
D21=[1 0 0;0 1 0]; %2x3 | |
D=[D11 D12;D21 G_est.D]; | |
P=ss(A,B,C,D); | |
[K,CLperf]=h2syn(P,2,2); | |
Gcl=feedback(K*sys,eye(2,2)); | |
[G_b,S]=balreal(Gcl); | |
r=8; | |
Ar=Gcl.A(1:r,1:r); | |
Br=Gcl.B(1:r,:); | |
Cr=Gcl.C(:,1:r); | |
Gr=ss(Ar,Br,Cr,Gcl.d); | |
disp(norm(G-Gr)); | |
bode(Gcl,Gr);legend('Closed Loop','Reduced') |