Hi, my current code is written for time responses using the lsim function but it needs to be converted to ode45 and i have no idea where to start. Here's my current code with lsim, andy help would be appreciated!

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% Elevator deflection code
A=[-.045 .036 0 -32.2;-.369 -2.02 176 0;.0019 -.0396 -2.948 0;0 0 1 0];
B=[0;-28.17;-11.88;0];
C=eye(4);
D=[0;0;0;0];
values=eig(A);
T = 0:1:200;
U = ones(size(T));
sys = ss(A,B,C,D);
[Y, Tsim, X] = lsim(sys,U,T);
plot(Tsim,Y)
Y1=(Y(:,1)./176.)/57.7
Y2=Y(:,2)./176
newY= [Y1 Y2 Y(:,3) Y(:,4)]
subplot(2,2,1)
plot(Tsim,Y1)
ylabel('delta(u)/V')
xlabel('Time (s)')
subplot(2,2,2)
plot(Tsim,Y2)
ylabel('delta(alpha)(deg)')
xlabel('Time (s)')
subplot(2,2,3)
plot(Tsim,Y(:,3))
ylabel('q(deg/s)')
xlabel('Time (s)')
subplot(2,2,4)
plot(Tsim,Y(:,4))
ylabel('delta(theta)(deg)')
xlabel('Time (s)')

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Star Strider
Star Strider 2014년 9월 15일
You have a linear problem, so ode45 is sort of overkill. I use expm for linear problems.
Use the: Y = C*exp(A*t)*D*U representation of a linear control system:
A=[-.045 .036 0 -32.2;-.369 -2.02 176 0;.0019 -.0396 -2.948 0;0 0 1 0];
B=[0;-28.17;-11.88;0];
C=eye(4);
T = 0:1:200;
U = ones(size(T));
for k1 = 1:length(T)
Y(:,k1) = C*expm(A*T(k1))*B*U(k1);
end
figure(1)
plot(T, Y)
producing:
<<www-mathworks-com-matlabcentral-answers-uploaded_files-18154-Hi--20my-20current-20code-20is-20written-20for-20time-20responses-20using-20the-20lsim-20function-20but-20it-20needs-20to-20be-20converted-20to-20ode45-20and-20i-20have-20no-20idea-20where-20to-20start-20--202014-2009-2014.png>>
  댓글 수: 2
Jon Miller
Jon Miller 2014년 9월 15일
Thanks a lot! I'm also pretty familiar with expm function however the class I'm currently taking insists that all of our code use the ODE45 function even if the problem is linear.
Star Strider
Star Strider 2014년 9월 16일
My pleasure!
I apologise — I didn’t realise you were required to use ode45.
In recompense, this should get you started:
A=[-.045 .036 0 -32.2;-.369 -2.02 176 0;.0019 -.0396 -2.948 0;0 0 1 0];
B=[0;-28.17;-11.88;0];
C=eye(4);
T = 0:1:200;
odelin = @(t,x) [-.045 .036 0 -32.2;-.369 -2.02 176 0;.0019 -.0396 -2.948 0;0 0 1 0]*[x(1); x(2); x(3); x(4)] + [0;-28.17;-11.88;0];
[t,y] = ode45(odelin, T, zeros(4,1));
It’s not perfect compared to the expm result (if it is correct as I believe it is). But then I can’t let you miss out on all the fun!

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