Review of Inductance Identification Methods Considering Inverter Nonlinearity for PMSM  

作　　者：Qiwei Wang Jiqing Xue Gaolin Wang Yihua Hu Dianguo Xu 

机构地区：[1]School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150000,China [2]Department of Engineering,King’s College London,London WC2R 2LS,UK

出　　处：《Chinese Journal of Electrical Engineering》2024年第2期1-15,共15页中国电气工程学报（英文）

基　　金：National Natural Science Foundation of China(52307048);the Postdoctoral General Foundation of Heilongjiang(LBH-Z23022).

摘　　要：Permanent magnet synchronous motors(PMSMs)are widely used in high-power-density and flexible control methods.Generally,the inductance changes significantly in real-time machine operations because of magnetic saturation and coupling effects.Therefore,the identification of inductance is crucial for PMSM control.Existing inductance identification methods are primarily based on the voltage source inverter(VSI),making inverter nonlinearity one of the main error sources in inductance identification.To improve the accuracy of inductance identification,it is necessary to compensate for the inverter nonlinearity effect.In this study,an overview of the PMSM inductance identification and the related inverter nonlinearity self-learning methods are presented.

关 键 词：Inductance identification inverter nonlinearity self-learning permanent magnet synchronous motor 

分 类 号：TM351[电气工程—电机]