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Particle swarm optimisation problem

Rahul Nadgouda さんによって質問されました 2019 年 8 月 18 日
最新アクティビティ Rahul Nadgouda さんによって コメントされました 2019 年 8 月 18 日
Hello all,
I am trying to use PSO for solving a system of nonlinear transcendental equations used in SHE PWM.
Following is the code i am using to solve
fun = @(alpha) pwm_equations_multilevel_pso(alpha0,1,2,harmonics)
nvars = 3;
lb=[0, 0, 0];ub=[deg2rad(90),deg2rad(90),deg2rad(90)];
options = optimoptions('particleswarm','SwarmSize',200,'MaxStallIterations',200)
options = optimoptions(options,'PlotFcn',@pswplotbestf);
[x,fval,exitflag,output] = particleswarm(fun,nvars,lb,ub,options)
where 'pwm_equations_multilevel_pso' is simply as follows
function F_dot = pwm_equations_multilevel_pso(alpha,M,harmonic_cancellation,harmonics)
F(1) = cos(harmonics(1)*alpha(1)) + cos(harmonics(1)*alpha(2)) - cos(harmonics(1)*alpha(3));
F(2) = cos(harmonics(2)*alpha(1)) + cos(harmonics(2)*alpha(2)) - cos(harmonics(2)*alpha(3));
F(3) = (cos(alpha(1)) + cos(alpha(2)) - cos(alpha(3))) - M;
F_dot=dot(F,F)
end
So the scalar value returned is a dot product of F with itself. I want to minimize F_dot to zero, but when i use PSO i get the following result
Unfortunately PSO does not converge to zero, it does not do anything in my case.
Obviously I am doing something wrong, but I am not sure what
Any help will be appreciated!

  6 件のコメント

Rahul Nadgouda 2019 年 8 月 18 日
Hello Walter,
harmonics = [5 7]
Actually the objective function looks as follows
function F_dot = pwm_equations_multilevel_pso(alpha,M,harmonic_cancellation,harmonics)
% Cancellation of 5th harmonic
if harmonic_cancellation == 1
F(1) = cos(harmonics(1)*alpha(1)) + cos(harmonics(1)*alpha(2));
F(2) = 4/pi*(cos(alpha(1)) + cos(alpha(2))) -M;
end
% Cancellation of 5th, 7th harmonics
if harmonic_cancellation == 2
F(1) = cos(harmonics(1)*alpha(1)) + cos(harmonics(1)*alpha(2)) - cos(harmonics(1)*alpha(3));
F(2) = cos(harmonics(2)*alpha(1)) + cos(harmonics(2)*alpha(2)) - cos(harmonics(2)*alpha(3));
F(3) = (cos(alpha(1)) + cos(alpha(2)) - cos(alpha(3))) - M;
F_dot=sqrt(dot(F,F));
end
end
Its just different set of equations depending on the number of harmonics cancelled.
However i found a bug in my code, and after solving that the algorithm seems to work ok. I am posting the picture below
So now PSO tries to converge it to zero. But if the objective function already solves to a negative value in the first iteration then PSO stops.
Now the question remains is how to put constraints on alpha while solving the equations. I have ub and lb set as mentioned above for each alpha, but i also want to restrict the solutions such that alpha1<alpha2<alpha3. Is there a way to do that as well?
Walter Roberson
2019 年 8 月 18 日
particleswarm() does not offer any constraints other than lb / ub .
You could add a penalty to the output for inputs that are out of order.
Rahul Nadgouda 2019 年 8 月 18 日
Ok, I already found some constrained based PSO.
Thank you for your help, now i got the hang of PSO.

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