📄 fig9_54bc.m
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% Figure 9.54 Feedback Control of Dynamic Systems, 4e
% Franklin, Powell, Emami
%
% fig9_54a.m is a script to generate Fig. 9.54, the step response
% for the fuel/air ratio with a non-linear sensor. A (3,3)
% Pade approximant is used to approximate the delay.
clf;
% construct the F/A dynamics with the sensor time-constant too
f =[-50 0 0;
0 -1 0;
10 10 -10];
g =[25.0000;
0.5000;
0];
h =[0 0 1];
j=0;
[f3,g3,h3,j3 ]=pade(.2,3); % the delay Pade model
% put the plant and the delay in series
[fp,gp,hp,jp]=series(f,g,h,j,f3,g3,h3,j3);
% construct the controller
nc=.1*[1 .3];
dc=[1 0]; % the PI controller in polynomial form
[fc,gc,hc,jc]= tf2ss(nc, dc); % put the controller in state form
[fol,gol,hol,jol] = series(fc,gc,hc,jc,fp,gp,hp,jp);
% get a discrete model at Ts = .01
[phi,gam] = c2d(fol,gol,.01);
% keyboard
% form the closed loop difference equation
x=[0 0 0 0 0 0 0]';
yout=[];
for t=0:.01:20;
y=hol*x ;
e=.4*sat(150*(.068-y));
x=phi*x+gam*e;
yout=[yout [e;y]];
end
t=0:.01:20;
axis( [0 20 -.6 .6]);
subplot(211);
plot(t,yout(1,:));
xlabel('Time (sec)');
ylabel('e');
title('Fig. 9.54 (b) Error plot for non-linear control of F/A')
grid on;
axis([0 20 0 .09]);
subplot(212);
plot(t,yout(2,:));
xlabel('Time (sec)');
ylabel('F/A');
title('Fig. 9. 54 (c) Output F/A ratio for non-linear control')
grid on;
hold off;
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