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!

1 visualización (últimos 30 días)
% 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)')

Respuesta aceptada

Star Strider
Star Strider el 15 de Sept. de 2014
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>>
  2 comentarios
Jon Miller
Jon Miller el 15 de Sept. de 2014
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 el 16 de Sept. de 2014
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!

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Ordinary Differential Equations en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by