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基于扩张状态观测器的永磁同步电机混沌系统自适应滑模控制

陈强 南余荣 邢科新

物理学报Issue(22):1-8,8.
物理学报Issue(22):1-8,8.DOI:10.7498/aps.63.220506

基于扩张状态观测器的永磁同步电机混沌系统自适应滑模控制

Adaptive sliding-mo de control of chaotic p ermanent magnet synchronous motor system based on extended state observer

陈强 1南余荣 1邢科新1

作者信息

  • 1. 浙江工业大学信息工程学院,杭州 310023
  • 折叠

摘要

Abstract

An adaptive sliding-mode control scheme based on extended state observer (ESO) is proposed for permanent magnet synchronous motor (PMSM) chaotic system with some immesureable states. The adaptive sliding-mode control and extended state observer theory are combined in the developed controller, and thus the restriction that all the states in the PMSM should be completely measured is canceled. Through a simple coordinate transformation, the PMSM chaotic model is transformed into a Brunovsky canonical form, which is more suitable for the sliding-mode controller design. In the presence of unknown states and upper bound of nonlinear uncertainty, the ESO is employed to estimate the unknown states and the nonlinear uncertainty. Then, the adaptive sliding-mode controller is designed to ensure that the system states can converge to zero rapidly and stably. Simulation results show that the proposed controller can improve the chattering problem of the sliding-mode control and enhance the robustness of the system.

关键词

永磁同步电机/混沌控制/扩张状态观测器/自适应滑模

Key words

permanent magnet synchronous motor/chaos control/extended state observer/adaptive sliding mode

引用本文复制引用

陈强,南余荣,邢科新..基于扩张状态观测器的永磁同步电机混沌系统自适应滑模控制[J].物理学报,2014,(22):1-8,8.

基金项目

国家自然科学基金(批准号:61403343,61202203)、浙江省自然科学基金(批准号:LZ12E07003, LY12F01023)和浙江省教育厅自然科学基金(批准号:Y201329260)资助的课题.* Project supported by the National Natural Science Foundation of China (Grant Nos.61403343,61202203), the Natural Science Foundation of Zhejiang Province, China (Grant Nos. LZ12E07003, LY12F01023), and the Scientific Research Foundation of the Education Department of Zhejiang Province, China (Grant No. Y201329260) (批准号:61403343,61202203)

物理学报

OA北大核心CSCDCSTPCDSCI

1000-3290

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