Fuzzy System Approximation based Adaptive Sliding Mode Control for Nonlinear System
Monisha Pathak1, Mrinal Buragohain2
1Dr. Monisha Pathak, Department of Instrumentation Engineering, Jorhat Engineering College, Jorhat Assam, India.
2Dr. Mrinal Buragohain, Department of Electrical Engineering, Jorhat Engineering College, Jorhat Assam, India.
Manuscript received on 29 November 2023 | Revised Manuscript received on 05 December 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023 | PP: 30-34 | Volume-13 Issue-2, December 2023 | Retrieval Number: 00.1/ijeat.B43381213223 | DOI: 10.35940/ijeat.B4338.1213223
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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.
Keywords: Sliding Mode Control, Fuzzy Logic Control; Nonlinear system; Adaptive Control; Fuzzy System Approximation.
Scope of the Article: Fuzzy Logic