Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

被引：0
|
作者：
Zhu, Z.Q. [1 ]
Liang, Dawei [1 ]
Liu, Kan [2 ]
机构：
[1] Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, United Kingdom
[2] College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China
来源：
IEEE Access | 2021年 / 9卷
基金：
英国工程与自然科学研究理事会;
关键词：
Fault detection - Sensorless control - Parameter estimation - Permanent magnets - Condition monitoring - Synchronous machinery;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with examples. The critical issues in parameter estimation are firstly analysed, especially the rank-deficient issue and inverter nonlinearities. Then, the state-of-the-art online parameter estimation modelling techniques are reviewed and assessed. Finally, some typical applications and examples are outlined, e.g. estimation of mechanical parameters, improvement of sensored and sensorless control performance, thermal condition monitoring, and fault diagnosis, together with future research trends. © 2013 IEEE.
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页码：59059 / 59084
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