Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators

被引:0
作者
Tairen Sun
Long Cheng
Zengguang Hou
Min Tan
机构
[1] Jiangsu University,School of Electrical and Information Engineering
[2] Chinese Academy of Sciences,State Key Laboratory of Management and Control for Complex Systems, Institute of Automation
[3] University of Chinese Academy of Sciences,School of Artificial Intelligence
来源
Science China Information Sciences | 2021年 / 64卷
关键词
adaptive control; robot manipulator; disturbance observer; sliding mode;
D O I
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中图分类号
学科分类号
摘要
This paper proposes a sliding-mode disturbance observer (SMDOB)-based tracking controller for a class of nonlinear systems with modeling uncertainties and external disturbances. The SMDOB is constructed using an extended state observer embedded by a filtered sliding mode term. The chattering caused by the sliding mode is compressed by the frequency bandwidths of both the extended state observer and the control system. The novelties of the proposed controller are as follows: (1) The semiglobal asymptotical stability of the combined controller-observer system is guaranteed without the boundedness assumption of the time derivatives of modeling uncertainties; (2) the SMDOB can be implemented with a low complexity because of only three parameters to be tuned. Applications to robot manipulators illustrate the effectiveness of the SMDOB-based tracking control strategy.
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