基于PSO的永磁同步电机SMC控制研究

Research on SMC Control of Permanent Magnet Synchronous Motor System Based on Particle Swarm Optimization

为提高永磁同步电机(PMSM)滑模变结构控制(SMC)系统动态响应性能,采用粒子群算法(Particle Swarm Optimization,PSO)对永磁同步电机SMC参数进行优化,给出该算法的具体实现步骤,设计了永磁同步电机控制系统,并对系统进行仿真分析与实验研究。通过仿真实验,该系统的超调量、系统稳定性等性能得到明显提高,实验的有效性得到验证。

In order to improve the dynamic response performance of the permanent magnet synchronous motor(PMSM)sliding mode variable structure control(SMC)system,particle swarm optimization(PSO)is used to optimize the SMC parameters of PMSM.The specific implementation steps are designed and the permanent magnet synchronous motor control system is designed.The simulation analysis and experimental research are carried out on the system.The simulation results show that overshoot and system stability in the system is significantly improved,and the effectiveness of the experiment is verified.