Particle Swarm Optimization cost value is different from real value

Question

종원 이 2023-7-2

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1990903-particle-swarm-optimization-cost-value-is-different-from-real-value

评论： Song-Hyun Ji 2023-7-7

在 MATLAB Online 中打开

Hello,

I am trying to find optimal controller gain in Simulink file using particle swarm optimization.

The Entire structure follows:

Generate a cost function. Input of this cost function is controller gain. If input is applied, this parameter is applied to simulink file and run by sim() function. After simulation is executed, the tracking error signal is saved in workspace and error is calculated. the output value of this cost function is this norm of tracking error vector.
Execute particle swarm optimization with 1. cost function with parallel computing.

For that, I wrote below code

delete(gcp('nocreate')); %First delete processor if there is any.
parpool('AttachedFiles',{'Plant_test_version.slx'}); % Attach file to processor
spmd        
    load_system('Plant_test_version'); % Load simulink file to processors.
end        
addAttachedFiles(gcp,'Plant_parallel.slx'); % I am not sure this line is needed, but to make sure, I wrote this line.
option1 = optimoptions('particleswarm','UseParallel',true,'UseVectorized',false,'Display','iter','PlotFcn','pswplotbestf');
[sol1,fval1,exitflag1,output1] = particleswarm(@cost_function,26,0.05*ones(26,1),15*ones(26,1),option1); % # of Input parameter is 26.

This code runs well.

The problem is, the cost value that particle swarm give is different when I actually put the solution in cost function.

To make sure what I mean, I will explain it again.

If pso results was,

sol1 = [1 2 3]
fval1 = 100

Then If I put sol1 value into @cost_function, then the output should be 100 but it isn't.

I suspect this is because of parallel computing, but I totally cannot figure out why this occurs.

Can anyone help me?

Thank you,

2 个评论
显示无隐藏无

Sam Chak 2023-7-2

Hi @종원 이,

This is strange. Could you confirm whether the model in Plant_test_version.slx is exactly the same as the one in Plant_parallel.slx? Also, did you run the test version for the same simulation time as the original model?

종원 이 2023-7-6

在 MATLAB Online 中打开

Oh, I am sorry I made a mistake.

Yes, you are right, I editted the code like below

addAttachedFiles(gcp,'Plant_test_version.slx');

But result was the same.

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Song-Hyun Ji 2023-7-3

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1990903-particle-swarm-optimization-cost-value-is-different-from-real-value#answer_1266203

I am not sure if you consider the solution as the global optimum like this example. If you think there is a product problem, please contact the Technical Support team with the reproducible sample files.