永磁同步电机多参数辨识研究  

Research on permanent magnet synchronous motor multi-parameter identification

作　　者：林立[1,2] 杨阳[1,2] 李亚楠 王翔 LIN Li;YANG Yang;LI Yanan;WANG Xiang(Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area,Shaoyang University,Shaoyang 422000,China;School of Electrical Engineering,Shaoyang University,Shaoyang 422000,China;Shaoyang Zishui Technology Co.,Ltd.,Shaoyang 422000,China;Asia Fuji Elevator Co.,Ltd.,Shaoyang 422000,China)

机构地区：[1]邵阳学院多电源地区电网运行与控制湖南省重点实验室,湖南邵阳422000 [2]邵阳学院电气工程学院,湖南邵阳422000 [3]邵阳资水科技有限公司,湖南邵阳422000 [4]亚洲富士电梯有限公司,湖南邵阳422000

出　　处：《邵阳学院学报（自然科学版）》2024年第2期18-27,共10页Journal of Shaoyang University：Natural Science Edition

基　　金：湖南省自然科学基金项目(2022JJ50186);邵阳学院研究生科研创新项目(CX2023SY059);湖南省科技厅科研平台及人才计划项目(2016TP1023);邵阳市科技计划重点项目(2023CG2010)。

摘　　要：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ψ_f、定子电阻R_s和电感L_s。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。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 fluxψf,the stator resistance R s and inductance L s.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.

关 键 词：永磁同步电机 参数辨识 递推最小二乘法 遗忘因子 

分 类 号：TM341[电气工程—电机]