Improved Particle Swarm Optimization on PID Tuning

This dir is belong to Control System class contains with Tuning PID with ZN1 and PSO on motor system.

Software

This program ran in Matlab

Variables

s = tf('s'); defines s as 'frequency domain' for transfer function and will be used further.

J = 0.01;
b = 0.1;
K = 0.01;
R = 1;
L = 0.5;

Those variable comes from BLDC control system.

c1=2; c2=2; w_max = 1; w_min = 0.1; particles=50; iterations=100;
var=3; e_max = 1; e_min=0.1;

% Search limit
lim_min = 0;
lim_max = 2500;

Variable above is the constant for PSO tuning.

Testing

ITAE Cost Function

Step Response

Results

Before PSO-PID

        RiseTime: 1.0161
    SettlingTime: 1.8471
     SettlingMin: 0.0819
     SettlingMax: 0.0907
       Overshoot: 0
      Undershoot: 0
            Peak: 0.0907
        PeakTime: 3.0168
         SSError: 0.9095

After PSO-PID

Kp = 853.2738

Ki = 73.5218

Kd = 2500

        RiseTime: 9.6110e-04
    SettlingTime: 0.0012
     SettlingMin: 0.9952
     SettlingMax: 0.9977
       Overshoot: 0
      Undershoot: 0
            Peak: 0.9977
        PeakTime: 0.0036
         SSError: 0.0024

Notes

Contact nanda.r.d@mail.ugm.ac.id for more information

Links

You can access the source code here github.com/nandard/control-system.git

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