Efficient Online PMSM Parameter Estimation Method

被引：1

作者：

Do G.-H. ^{[1
]}

Choi H.H. ^{[1
]}

机构：

[1] Division of EEE, Dongguk University, Seoul

来源：

Journal of Institute of Control, Robotics and Systems | 2022年 / 28卷 / 12期

关键词：

control system; flux linkage; parameter estimation; PMSM; stator inductance; stator resistance;

D O I：

10.5302/J.ICROS.2022.22.0191

中图分类号：

学科分类号：

摘要：

This paper proposes an efficient estimation method for PMSM (Permanent Magnet Synchronous Motor) parameters. We usually need to precisely estimate PMSM parameter values of the flux linkage, stator inductance, and resistance for accurate control, condition monitoring, fault diagnosis and prognosis, or others. The conventional methods to estimate the flux linkage, stator inductance, and resistance involve the manipulation of matrices of size 3 by 3 or higher dimensions, which leads to heavy computational burdens. This paper provides a simpler estimation method involving 2-by-2 matrix manipulations. Using the estimated PMSM parameter values of the flux linkage, stator inductance, and resistance, we design an adaptive PI-type PMSM controller. Through numerical comparative simulations, this paper verifies the practicality and efficiency of the proposed method. © ICROS 2022.

引用

页码：1121 / 1126

页数：5

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