永磁同步电机伺服系统控制最优化方法

永磁同步电机具有强耦合和非线性的特点,其应用环境通常较为复杂且存在干扰,系统稳定性差。传统PI控制方式很难满足控制系统的要求,控制效果不佳。为抑制超调幅度,提高控制精度,提出一种新型粒子群算法,把系统控制精度作为粒子的寻优目标,最优粒子作为最终PI参数,从而对电机进行精确稳定的控制。仿真实验结果表明,粒子群算法的PI控制器使系统具备较好的动静态性能,该研究为伺服控制系统优化设计提供了较强的理论支撑,且应用前景广阔。

Research on Optimization Method for the PMSM Servo Control System

The permanent magnet synchronous motor has the features of strong coupling and nonlinearity.Its application environment is complex and there is interference,which gives rise to poor system stability.The traditional PI control method has difficulty meeting the requirement of the control system,and the control is therefore poor.To suppress overshoot and improve the control accuracy,a new particle swarm optimization (pso) algorithm is proposed in this paper.With system precision as the optimization objective of particles and the optimal particle as the PI parameter,the precision and stabilization of the Servo Control System can be controlled.Simulation results show that the particle swarm algorithm of the PI controller enables this system to have better dynamic and static performance.The study provides a strong theoretical support for the servo control system optimization design which has promising application prospects.