How can i tune a PID controller using PSO algorithm for an Automatic Generation Control system

I need to optimize a PID controller for a 2 area automatic generation control system using PSO algorithm. I am not able to understand the implementation of the algorithm.

Answer 1

[denny]

You can read the matlab help, like the following matlab commands:

set_param('somesimulink/constant','Value',num2str(kp))

sim('somesimulink.slx')

and the simulink model:

to workspace

and the code as following : % options=gaoptimset('Generations',maxGenerations,'PopulationSize',maxPopulationSize,'Display','iter','TimeLimit',6000,'PlotFcn',@myplot_forga);%ga gaplotbestf

options=gaoptimset('Generations',maxGenerations,'PopulationSize',maxPopulationSize,'Display','iter','PlotFcn',@myplot_forga);%ga gaplotbestf

for ii=1:numofmean

    every_gen_bestvalues=[];

    disp(['--------------------------------------------ga ' num2str(ii)  '/'  num2str(numofmean)]);

    tic

    [thelast_x,thelast_f]=ga(@fitness_allothers,8,[],[],[],[],LB,UB,[],[],options);% fitness_test   fitness_allothers

    usetime=toc;

    every_gen_bestvalues=every_gen_bestvalues(2:end-1);

end

disp(['--1-------------------------------------------------------------------------------------------------']);

function y =fitness_allothers(x)

%x vars: Ki_Te Kp_Te

%% set data

    set_param('somesimulink/RSC1','Ki_Te',num2str(x(1)))

    set_param('somesimulink/RSC1','Kp_Te',num2str(x(2)))

    sim('somesimulink');

    y=my_fitnessdata(end);% my_fitnessdata  is a toworkspace model in the simulink model.

end