CODEWITHSUNDEEP
matlaboptimizationsimulinkparameter-tuning
jayjay
jayjay

Reputation: 1

Controller parameters tuning without simulation

I am trying to find a way to tune the parameters of controllers with variable structure for power systems using Matlab and simulink. I would like to find a method where it is not needed to simulate the environment to tune the parameters. For now I use the minimization of the H2 or the H-infinity norm of the system. I am currently trying to tune the parameters of a simple PID controller for a second order plant (G(s) = 1 / (s^2 + 10s + 20)). The model is depicted below :

model

I have tried to use particle swarm optimization to minimize H2 or H-infinity norm of the transfer function :

T(s) = G(s) / (1 + C(s)G(s)) where G(s) is the transfer function of the plant and C(s) = Kp + Ki/s + Kd*s

The problem that I have is that the optimization return very large parameters (the order of magnitude of the gains is between 10^10 and 10^14) that lead to a non-ideal behvior.

For comparison this is the resulting behavior when optimizing with the norms:

norm

And this is the resulting behavior when optimizing with simulation :

simulation

The value of the H2 and H-infinity norms with the resulting parameters are very low while the resulting behavior is really oscillatory.

Thank you,

Upvotes: 0

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