基于DFFRLS的PMSM自校正PI速度控制策略研究

Self-tuning PI Speed Control Based on Dynamic Forgetting Factor RecursiveLeast Squares Method for PMSM

基于惯量辨识的永磁同步电机自校正PI速度控制具有良好的抗负载扰动性能,但受到惯量辨识过程存在抖动的影响转速响应会产生高频振荡。为抑制高频振荡,提出一种基于动态遗忘因子递推最小二乘法惯量辨识的自校正PI控制策略。首先,构造指数函数形式的动态遗忘因子,分析其跟随辨识误差变化的规律并用于转动惯量辨识。然后,采用“振荡指标法”设计PI参数整定公式,并结合DFFRLS惯量辨识过程进行自校正PI控制。仿真和实验结果表明:改进的DFFRLS有效减小了辨识惯量的抖动幅度;所提ST-PIC调速控制策略在保证转速高性能响应的同时有效抑制了高频振荡。

The self-tuning PI speed control of permanent magnet synchronous motor based on inertia identification hadgood anti load disturbance performance,but the speed response would generate high-frequency oscillation due to the influence of jitter in the inertia identification process.To suppress high-frequency oscillations,a self-tuning PI control strategy based on dynamic forgetting factor recursive least squares inertia identification was proposed.Firstly,constructed a dynamic forgetting factor in the form of an exponential function,analyzed its law of following the variation of identification error,and used it for moment of inertia identification.Then,the“oscillation index method”was used to design the PI parameter tuning formula,and self-tuning PI control was carried out in conjunction with the DFFRLS inertia identification process.The simulation and experimental results show that the improved DFFRLS effectively reduces the jitter amplitude of the identification inertia;the proposed ST-PIC speed control strategy effectively suppress es high-frequency oscillations while ensuring high-performance speed response.