针对表 贴式 永磁同 步电机(surface permanent magnet synchronous motor,SPMSM)在运行过程中参数时变问题,采用带遗忘因子的递推最小二乘法(forgetting factor recursive least squares,FFRLS)在线辨识永磁磁链Ψf、定子电阻Rs和电感Ls.对SPMSM数学模型进行分析,结合空间矢量脉宽调制技术,实现矢量控制;分析不同参数发生变化对电机控制性能的影响,并建立矢量控制策略下FFRLS参数辨识和递推最小二乘法(recursive least squares,RLS)辨识的系统仿真模型,进行对比仿真分析.仿真结果表明,该算法能较好地进行辨识,辨识快速收敛,辨识精度高.
Research on permanent magnet synchronous motor multi-parameter identification
Aiming at the problem of time-varying parameters during the operation of surface permanent magnet synchronous motors(SPMSM),the forgetting factor recursive least squares(FFRLS)method was used to on line,identify the permanent magnet flux Ψf,the stator resistance Rs and inductance Ls.The mathematical model of SPMSM was analyzed,combined with space vector pulse width modulation technology to achieve vector control.The influence of the change of different parameters on the motor performance was analyzed,and a system simulation model with FFRLS parameter identification and recursive least squares(RLS)method identification under vector control strategy was established for comparative simulation analysis.The simulation results show that the algorithm can perform identification well,with fast convergence and high identification accuracy.
permanent magnet synchronous motor(PMSM)parameter identificationrecursive least squares(RLS)dynamic forgetting factor
万方数据
维普
