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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2018-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/6405923 |
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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 |
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