Adaptive fuzzy multi-surface sliding mode control for a class of nonlinear systems

被引：0
|
作者：
Khoo Suiyang [1 ]
Man Zhihong [1 ]
Zhao Shengkui [1 ]
机构：
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
来源：
ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An adaptive fuzzy multi-surface sliding mode control is proposed for a class of nonlinear systems with mismatched uncertainties. It is shown that the Mamdani fuzzy logic-based function approximator is used to learn the system uncertainties first, and the iterative multi-surface sliding mode design is then carried out. Using the concept of terminal sliding mode to design the baseline controller, not only strong robustness with respect to approximation errors and nonlinearities can be obtained, but also the tracking error can be proven to converge to a small neighborhood of the origin in finite time. Simulation results are provided to show the effectiveness of the proposed approach.
引用
收藏
页码：1095 / 1100
页数：6
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