Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor
Xia, P. P.; Deng, Y. T.; Wang, Z. Q.; Li, H. W.
刊名Mathematical Problems in Engineering
2018
卷号0页码:13
关键词neural-network motion control drive systems machines design Engineering Mathematics
ISSN号1024-123X
DOI10.1155/2018/6405923
英文摘要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.
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/61154]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Xia, P. P.,Deng, Y. T.,Wang, Z. Q.,et al. Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor[J]. Mathematical Problems in Engineering,2018,0:13.
APA Xia, P. P.,Deng, Y. T.,Wang, Z. Q.,&Li, H. W..(2018).Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor.Mathematical Problems in Engineering,0,13.
MLA Xia, P. P.,et al."Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor".Mathematical Problems in Engineering 0(2018):13.
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