Research on PMSM vector control strategy based on particles warm optimization algorithm variable universe fuzzy PID
Permanent magnet synchronous motor is widely used thanks to its simple structure, low noise and high efficiency. The traditional PID control hardly meets the requirements of modern industry control. To achieve better performances, a fuzzy PID control method based on particle swarm optimization is proposed in this paper. The vector control principle of permanent magnet synchronous motor is analyzed and the mathematical model of PMSM in d-q coordinate system is built. The variable theory domain fuzzy PID controller based on PSO is designed, and the simulation model of PMSM speed regulation system under id=0 vector control is built by Matlab/Simulink. Our simulation results show the variable discourse domain fuzzy PID control method based on particle swarm optimization shares the advantages of traditional fuzzy control and PID control algorithm and employs particle swarm optimization to get the best fuzzy discourse domain, improving the dynamic response speed of permanent magnet synchronous motor control system, and reducing the overshoot and fluctuations.
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