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《Journal of Beijing Institute of Machinery》 2008-04
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Research of particle swarm optimization controller in brushless DC motor system

CHEN Hao,LI Hong(School of Automation,Beijing Information Science and Technology University,Beijing 100192,China)  
In view of the shortage of the online adjustment of parameters in fuzzy logic controller,a fuzzy logic controller based on particle swarm optimization is presented.Particle swarm optimization is used to optimize three parameters of fuzzy logic controller.This controller is applied in the control of brushless DC motor.and used in speed loop in the dual close-loop control system.Simulation results prove the flexibility of the control system in real time.Excellent flexibility and adaptability as well as high precision and good robustness are obtained by the proposed strategy.
【CateGory Index】: TP273.4;TM33
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