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Can anyone help me with the PID tuning using #Particle Swarm Optomization for Load Frequency Control of 3 area system??

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RITU SAIKIA
RITU SAIKIA on 11 Mar 2016
Commented: Walter Roberson on 13 Sep 2017
PLEASE HELP ME FOR TUNING THE PID CONTROLLER PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM FOR A LOAD FREQUENCY CONTROL PROBLEM HAVING THREE AREAS.ACTUALLY I NEED SOME HELP FOR THE MATALB CODE FOR PSO.

Answers (3)


denny
denny on 3 Jul 2016
what's your problem exactly ? I had done some optimize for PID controller run MATLAB and MATLAB/Simulink together. My Email is yinlinfei@163.com , I can help you if you have any problem.

denny
denny on 20 Dec 2016
Edited: Walter Roberson on 20 Dec 2016
You mean the convergence fitness curve? you can get the convergence curve by two ways as follows:
1: use your matrix to record the convergence fitness, you can plot it at any time, I recommend this way to you.
step 1: at you main function , declare a global variable as follow:
global every_gen_bestvalues
step 2: modefy your ga function optiions, add a plot function by yourself as follow:
options=gaoptimset('Generations',100,'PopulationSize',20,'Display','iter','PlotFcn',@myplot_forga);
step 3: add a matlab function ,name as above, myplot_forga, the myplot_forga is shown as follows:
function state = myplot_forga(options,state,flag)
% set(gcf,'Visible','off')
if state.Generation>=1
global every_gen_bestvalues
every_gen_bestvalues=[every_gen_bestvalues; state.Best(end)];
end
end
step 4: you can plot the convergence curve like :
plot(every_gen_bestvalues)
step 5: you can save the variable as a mat file , and then figure it next time.
save('every_gen_bestvalues.mat','plot(every_gen_bestvalues)')
2: You can use the ga toolbox' plot function to plot it, if you close the figure window, you must run the ga optimization function again, so, I do not recommend this way . j ust one step:
options=gaoptimset('Generations',100,'PopulationSize',20,'Display','iter','PlotFcn',@gaplotbestf);

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