Research on Motor Control Strategy Based on Particle Swarm Optimization
Aiming at the problems of slow response and poor accuracy of motor speed control,particle swarm optimization(PSO)is used to optimize PID controller parameters to realize the speed control of Brushless DC motor.The mathematical model and control model of the DC mo-tor are constructed.On this basis,the process of PID parameters optimization by PSO is pro-posed.The simulation model of Brushless DC motor control system is built on the platform of MATLAB/Simulink.The simulation results of three motor control strategies,namely,tradition-al PID control,PID parameter control optimization by GA,and PID parameter control optimiza-tion by PSO,are compared under the conditions of no-load motor,step change of speed and step change of motor load.The results show that compared with the other two control strategies,PID parameter control optimization by PSO demonstrates fast speed response and strong anti-load in-terference ability.
motor speed controlparticle swarm optimization(PSO)PID control
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维普
