Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer
In this paper, a robust fault detection problem is investigated for a permanent magnet synchronous motor (PMSM). By using the adaptive control and the sliding-mode control strategies, an observer is presented for estimating the amplitude demagnetization fault problem under inductance disturbance. Th...
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2020-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/9360939 |
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doaj-5872395fc23d45c9b49a591513a32a362020-11-25T03:07:27ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/93609399360939Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode ObserverMiaoying Zhang0Fan Xiao1Rui Shao2Zhaojun Deng3College of Railway Transportation Locomotive and Vehicle College, Hunan Railway Professional Technology College, Zhuzhou, Hunan, ChinaCollege of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, Hunan, ChinaCollege of Railway Transportation Locomotive and Vehicle College, Hunan Railway Professional Technology College, Zhuzhou, Hunan, ChinaCollege of Railway Transportation Operation and Management, Hunan Railway Professional Technology College, Zhuzhou, Hunan, ChinaIn this paper, a robust fault detection problem is investigated for a permanent magnet synchronous motor (PMSM). By using the adaptive control and the sliding-mode control strategies, an observer is presented for estimating the amplitude demagnetization fault problem under inductance disturbance. The proposed method can effectively attenuate the inductance disturbance of the PMSM by the sliding-mode strategy. And the adaptive control estimation algorithm is adopted for guaranteeing that the real-time detection of demagnetization flux can be realized. The convergency is obtained by the Lyapunov stability theory. Finally, simulation is given for demonstrating the feasibility and effectiveness of the proposed method.http://dx.doi.org/10.1155/2020/9360939 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Miaoying Zhang Fan Xiao Rui Shao Zhaojun Deng |
spellingShingle |
Miaoying Zhang Fan Xiao Rui Shao Zhaojun Deng Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer Mathematical Problems in Engineering |
author_facet |
Miaoying Zhang Fan Xiao Rui Shao Zhaojun Deng |
author_sort |
Miaoying Zhang |
title |
Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer |
title_short |
Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer |
title_full |
Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer |
title_fullStr |
Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer |
title_full_unstemmed |
Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer |
title_sort |
robust fault detection for permanent-magnet synchronous motor via adaptive sliding-mode observer |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2020-01-01 |
description |
In this paper, a robust fault detection problem is investigated for a permanent magnet synchronous motor (PMSM). By using the adaptive control and the sliding-mode control strategies, an observer is presented for estimating the amplitude demagnetization fault problem under inductance disturbance. The proposed method can effectively attenuate the inductance disturbance of the PMSM by the sliding-mode strategy. And the adaptive control estimation algorithm is adopted for guaranteeing that the real-time detection of demagnetization flux can be realized. The convergency is obtained by the Lyapunov stability theory. Finally, simulation is given for demonstrating the feasibility and effectiveness of the proposed method. |
url |
http://dx.doi.org/10.1155/2020/9360939 |
work_keys_str_mv |
AT miaoyingzhang robustfaultdetectionforpermanentmagnetsynchronousmotorviaadaptiveslidingmodeobserver AT fanxiao robustfaultdetectionforpermanentmagnetsynchronousmotorviaadaptiveslidingmodeobserver AT ruishao robustfaultdetectionforpermanentmagnetsynchronousmotorviaadaptiveslidingmodeobserver AT zhaojundeng robustfaultdetectionforpermanentmagnetsynchronousmotorviaadaptiveslidingmodeobserver |
_version_ |
1715300321811496960 |