Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor

The sliding mode control (SMC) strategy is employed to a permanent magnet synchronous motor (PMSM) vector control system in this study to improve system robustness against parameter variations and load disturbance. To decrease the intrinsic chattering behavior of SMC, a speed SMC with an adaptive la...

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Main Authors: Peipei Xia, Yongting Deng, Zhiqian Wang, Hongwen Li
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/6405923
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spelling doaj-b4891804403645f1bcd4847ffc5796542020-11-24T23:57:51ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/64059236405923Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous MotorPeipei Xia0Yongting Deng1Zhiqian Wang2Hongwen Li3Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaThe sliding mode control (SMC) strategy is employed to a permanent magnet synchronous motor (PMSM) vector control system in this study to improve system robustness against parameter variations and load disturbance. To decrease the intrinsic chattering behavior of SMC, a speed SMC with an adaptive law and an extended state observer (ESO) is proposed. In this method, based on the Lyapunov stability theorem, adaptive estimation laws are deduced to estimate uncertainties of a PMSM caused by parameter variations and unmodeled dynamics. Online estimated uncertainties can be used to eliminate the effect caused by the real uncertainties. In addition, an ESO is applied to observe the load disturbance in real time. The load disturbance observed value is then utilized to the output side of the speed adaptive SMC controller as feed-forward compensation. Both the simulation and experiment results demonstrate that the proposed approach effectively alleviates system chattering and enhances system robustness against uncertainty and load disturbance.http://dx.doi.org/10.1155/2018/6405923
collection DOAJ
language English
format Article
sources DOAJ
author Peipei Xia
Yongting Deng
Zhiqian Wang
Hongwen Li
spellingShingle Peipei Xia
Yongting Deng
Zhiqian Wang
Hongwen Li
Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
Mathematical Problems in Engineering
author_facet Peipei Xia
Yongting Deng
Zhiqian Wang
Hongwen Li
author_sort Peipei Xia
title Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
title_short Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
title_full Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
title_fullStr Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
title_full_unstemmed Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
title_sort speed adaptive sliding mode control with an extended state observer for permanent magnet synchronous motor
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description The sliding mode control (SMC) strategy is employed to a permanent magnet synchronous motor (PMSM) vector control system in this study to improve system robustness against parameter variations and load disturbance. To decrease the intrinsic chattering behavior of SMC, a speed SMC with an adaptive law and an extended state observer (ESO) is proposed. In this method, based on the Lyapunov stability theorem, adaptive estimation laws are deduced to estimate uncertainties of a PMSM caused by parameter variations and unmodeled dynamics. Online estimated uncertainties can be used to eliminate the effect caused by the real uncertainties. In addition, an ESO is applied to observe the load disturbance in real time. The load disturbance observed value is then utilized to the output side of the speed adaptive SMC controller as feed-forward compensation. Both the simulation and experiment results demonstrate that the proposed approach effectively alleviates system chattering and enhances system robustness against uncertainty and load disturbance.
url http://dx.doi.org/10.1155/2018/6405923
work_keys_str_mv AT peipeixia speedadaptiveslidingmodecontrolwithanextendedstateobserverforpermanentmagnetsynchronousmotor
AT yongtingdeng speedadaptiveslidingmodecontrolwithanextendedstateobserverforpermanentmagnetsynchronousmotor
AT zhiqianwang speedadaptiveslidingmodecontrolwithanextendedstateobserverforpermanentmagnetsynchronousmotor
AT hongwenli speedadaptiveslidingmodecontrolwithanextendedstateobserverforpermanentmagnetsynchronousmotor
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