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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 278-283
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.278
• Online since: July 2012
• Authors: Jun Lin Zhu, Hui Liu, Zhi Bin Ren
• Keywords: Artificial Fish-Swarm Algorithm (AFSA), Brushless Dc Motor (BLDCM), PID Controller

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