Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (2): 21-27.doi: 10.16088/j.issn.1001-6600.2016.02.004

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Fuzzy Control Research for Brushless DC Motor Basedon Improved Particle Swarm Algorithm

WANG Guoyu, HUANG Zhigong, DAI Ming   

  1. College of Electronic Engineering,Guangxi Normal University,Guilin Guangxi 541004,China
  • Received:2015-07-20 Online:2016-06-25 Published:2018-09-14

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Abstract: To solve the problems of poor stability of the system PID for the regulator and overshoot in the brushless dc motor control system, this paper puts forward a kind of fuzzy controller based on improved particle swarm algorithm to optimize the speed of the controllable algorithm, which includes the advantages of particle swarm optimization (PSO) algorithm and the quantum algorithm. The experimental simulation results show that the dynamic and static performance of the optimized fuzzy controller is superior to that of traditional PID control. The new controller has very good robustness and control precision.

Key words: BLDCM, fuzzy control, PSO, quantum algorithm, improved particle swarm algorithm

CLC Number: 

  • TM341
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