Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

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 est...

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Main Authors: Z. Q. Zhu, Dawei Liang, Kan Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9402773/
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author Z. Q. Zhu
Dawei Liang
Kan Liu
author_facet Z. Q. Zhu
Dawei Liang
Kan Liu
author_sort Z. Q. Zhu
collection DOAJ
description 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.
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spelling doaj.art-d72df6462d024764b66ccce0be77323f2022-12-21T19:49:04ZengIEEEIEEE Access2169-35362021-01-019590595908410.1109/ACCESS.2021.30729599402773Online Parameter Estimation for Permanent Magnet Synchronous Machines: An OverviewZ. Q. Zhu0https://orcid.org/0000-0001-7175-3307Dawei Liang1https://orcid.org/0000-0002-1574-9810Kan Liu2https://orcid.org/0000-0002-3998-7194Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.College of Mechanical and Vehicle Engineering, Hunan University, Changsha, ChinaOnline 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.https://ieeexplore.ieee.org/document/9402773/Condition monitoringcontrol performanceelectrical parameterfault diagnosismechanical parameteronline parameter estimation
spellingShingle Z. Q. Zhu
Dawei Liang
Kan Liu
Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
IEEE Access
Condition monitoring
control performance
electrical parameter
fault diagnosis
mechanical parameter
online parameter estimation
title Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
title_full Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
title_fullStr Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
title_full_unstemmed Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
title_short Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
title_sort online parameter estimation for permanent magnet synchronous machines an overview
topic Condition monitoring
control performance
electrical parameter
fault diagnosis
mechanical parameter
online parameter estimation
url https://ieeexplore.ieee.org/document/9402773/
work_keys_str_mv AT zqzhu onlineparameterestimationforpermanentmagnetsynchronousmachinesanoverview
AT daweiliang onlineparameterestimationforpermanentmagnetsynchronousmachinesanoverview
AT kanliu onlineparameterestimationforpermanentmagnetsynchronousmachinesanoverview