PID Controller Parameters Optimization Based on Artificial Fish Swarm Algorithm

2012 ◽  
Author(s):  
Zeng Cheng ◽  
Xu Hong
Keyword(s):  
Pid Controller ◽  
Parameters Optimization ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

Optimization Design of Permanent-Magnetism Brushless DC Motor Governing System Based on Artificial Fish Swarm Algorithm

2012 ◽  
Vol 546-547 ◽  
pp. 278-283
Author(s):  
Jun Lin Zhu ◽  
Hui Liu ◽  
Zhi Bin Ren
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Fitness Function ◽  
Dc Motor ◽  
System Response ◽  
Brushless Dc Motor ◽  
Artificial Fish Swarm Algorithm ◽  
Brushless Dc ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.

PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM

2019 ◽  
Vol 6 (4) ◽  
pp. 43
Author(s):  
HADIR ADEBIYI BUSAYO ◽  
TIJANI SALAWUDEEN AHMED ◽  
FOLASHADE O. ADEBIYI RISIKAT ◽  
◽  
◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Artificial Bee Colony ◽  
Artificial Fish Swarm Algorithm ◽  
Bee Colony ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm
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