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assign_6_pso.ipynb | ||
assign_6_pso.m | ||
Presentasi Sistem Kendali Pre-UTS.pptx | ||
README.md |
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
Ramp Response
Impulse Response
Acceleration Response
Results
Elapsed time is 18.701024 seconds.
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 = 853.3161
Ki = 74.1078
Kd = 2.4810e+03
RiseTime: 9.5287e-04
SettlingTime: 0.0012
SettlingMin: 0.9949
SettlingMax: 0.9976
Overshoot: 0
Undershoot: 0
Peak: 0.9976
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