Fuzzy System Approximation based Adaptive Sliding Mode Control for Nonlinear System

Author:

Pathak Dr. MonishaORCID, ,Buragohain Dr. Mrinal,

Abstract

In this paper, an adaptive sliding mode control utilizing a fuzzy system approximation is introduced. The fuzzy system is used to approximate the unknown function of an uncertain nonlinear system. The robustness of the system is ensured by the sliding mode control, while the adaptive fuzzy system improves real-time performance. To approximate unknown nonlinearities, a set of fuzzy rules is formulated whose parameters are adjusted in real-time by an adaptive algorithm. The chattering problem of sliding mode control is satisfactorily resolved, and stable operation is assured.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Computer Science Applications,General Engineering,Environmental Engineering

Reference19 articles.

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3. Sacheul Jeoung, Jongkil Han, Kyumann Im, Woonchul Ham,Byungkook Yo, Adaptive Fuzzy Sliding Mode Control of Nonlinear System : The Second Control Scheme, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

4. Li Xin Wang, J M Mendel, Fuzzy Basis functions, Universal Approximation, and Orthogonal Least Squares Learning, IEEE Transactions on Neural Networks,Vol3,No5 september 1992. https://doi.org/10.1109/72.159070

5. Tairen Sun, Yongping Pan , Adaptive Control for Nonaffine Nonlinear Systems Using Reliable Neural Network Approximation, IEEE Access, Volume 5, 2017 https://doi.org/10.1109/ACCESS.2017.2763628

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