how can i write cost function in firefly algorithm for optimal tuning pid parameters in matlab
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Iam using firefly algorithm for optimal tuning pid parameters , the cost function is IAE i wrote IAE function as a function of pid parameters {kp,ki.kd} but it doesnot work it gives error that it undefined variable ,should i give initial values for parameters?? and what is error in the IAE function
costFunction = integral(abs(error),0,Inf);
it gives Undefined function 'abs'
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noor diyana
2017년 5월 11일
Here are example from my senior project. You can try it. You can change the objective function, MaxIt, runtime as system that you want. Anything can email me diyana.escosa2014@gmail.com All the best!
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Hansem Rosas Ramos
2024년 6월 5일
Hello Noor diyana,
Pls could you explain me how to change the system in the code, in my case I must change for this system:
G(s)=1065.5/(s+10.57) (Plant)
I think that in your code called "trackls.m", i have to change in SystemA for the feedback controlled system (Wc(s)=(G(s)C(s))/(1 + G(s)C(s)),where C(s)=Kp + Ki/s + Kd*s , and continue the operation algebratically, for example my feedback system controlled would be:
SystemA=tf([1605.5*kd 1605.5*kp 1605.5*ki ],[(1605.5*kd + 1) (1605.5*kp + 10.57) 1605.5*ki]);
this is correct?
And then the main program pulls the data and parameters contained in the tracklsq code? Pls I would appreciate it if you could explain that part better to me.
Best Regards
ednilson szeskoski
2017년 9월 3일
I have the same problem. I'm implementing PID for a voltage control system. The goal is to optimize using firefly, the same error quoted is happening, how can I implement in the code the transfer function of my case? Thank you.
tf([0.004, 0.454, 5.55, 15.1, 10], [1.6e-05, 0.002032, 0.04732, 0.4286, 2.133, 8.76, 18.01, 11])


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ednilson szeskoski
2017년 9월 3일
편집: Walter Roberson
2017년 9월 3일
The image where the mesh is drawn representing the system is only for understanding my system I work with it in simulink but only by changing the PID values, the image with the equation is the result of the transfer function of the feedback system, in which I am not able to implement in the Diyana code.
Below I have the code that I made simply to get the transfer function. Now the problem is to apply the adapted PID to the firefly optimization code.
%%Malha da excitação
amp = tf([10] , [0.1 1])
exit = tf([1] , [0.4 1])
ger = tf([1] , [1 1])
sens = tf([1], [0.01 1])
h = amp * exit * ger
g = sens
malhaeq = h / (1+h*g)
step(malhaeq)
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