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基于最小二乘法的永磁同步电机电感辨识研究
引用本文:刘旭,王旭平,王淑红,梁力波,黄济文.基于最小二乘法的永磁同步电机电感辨识研究[J].电机与控制应用,2020,47(6):1-5.
作者姓名:刘旭  王旭平  王淑红  梁力波  黄济文
作者单位:1. 太原理工大学 电气与动力工程学院,山西 太原030024;1. 太原理工大学 电气与动力工程学院,山西 太原030025;1. 太原理工大学 电气与动力工程学院,山西 太原030026;2. 国网太原供电公司,山西 太原030024
基金项目:国家自然科学基金项目(51477110)
摘    要:内置式永磁同步电机(PMSM)的电感会随着磁路的饱和程度加深而减小,导致电机控制系统中,不同运行状态下,电感参数会发生变化,因此准确辨识电感参数对电机的控制性能影响很大。针对这一问题,提出了利用PMSM瞬态电压方程建立基于带遗忘因子的最小二乘法的电感辨识方法。搭建了仿真模型,分析了在转速、转矩发生变化时该辨识方法的辨识结果,并在基于dSPACE的试验平台上试验验证了该辨识方法。通过对比仿真和试验的结果,证明该方法在内置式PMSM控制中具有良好的实时性和有效性。

关 键 词:永磁同步电机    电感辨识    瞬态电压方程    遗忘因子    最小二乘法
收稿时间:2020/2/22 0:00:00
修稿时间:2020/4/13 0:00:00

Inductance Identification of Permanent Magnet Synchronous Motor Based on Least Square Method
LIU Xu,WANG Xuping,WANG Shuhong,LIANG Libo,HUANG Jiwen.Inductance Identification of Permanent Magnet Synchronous Motor Based on Least Square Method[J].Electric Machines & Control Application,2020,47(6):1-5.
Authors:LIU Xu  WANG Xuping  WANG Shuhong  LIANG Libo  HUANG Jiwen
Affiliation:1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China;1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030025, China;1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030026, China;2. State Grid Taiyuan Power Supply Company, Taiyuan 030024, China
Abstract:The inductance of the internal permanent magnet synchronous motor (PMSM) will decrease as the saturation of the magnetic circuit deepens, which results in parameters variation with the running condition varying in the motor control system. Therefore, the accurate identification of inductance parameters has a great influence on the control performance of the motor. To solve this problem, a least squares inductance identification method based on forgetting factor is proposed using the transient voltage equation of PMSM. A simulation model is established, and the results of the identification method are obtained when the speed and torque change. Based on the dSPACE experiment platform, the identification method is verified by experiments. Comparison between simulation and experimental results proves that this method has good real time performance and effectiveness in the control of internal PMSM.
Keywords:permanent magnet synchronous motor (PMSM)  inductance identification  transient voltage equation  forgetting factor  least square method
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