Adopting Genetic algorithm for a Simulink model without feedback loop

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this is the marx impulse model created in simulink. want to get the rise time - 1.2 us(micro seconds), fall time -50 us, by adjusting the resistance and capacitance values with the help of genetic algorithms. how to do that

Answers (1)

Sam Chak
Sam Chak on 21 Feb 2023
Edited: Sam Chak on 21 Feb 2023
I'm unfamiliar with your Simulink model as well as the cost function that is related to Rise Time and Fall Time. However, you can basically call the ga() function using the script below to return the vector k that consists the local optimum resistance R and capacitance C values.
You are advised to study some examples here:
fun = @costfun;
[k, fval, exitflag, output] = ga(fun, nvars, A, b, Aeq, beq, lb, ub, nonlcon, options)
function J = costfun(k)
t0 = 0; % start time
tf = 20; % final time
h = 1e-2; % time step size
opts = simset('SrcWorkspace', 'current', 'DstWorkspace', 'current');
simOut = sim('MySimulinkModel', [t0:h:tf], opts); % Simulink file
cumJ = simOut.logsout.get(1).Values.Data; % cumulative_J
J = cumJ(end);

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