Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine

Nouri, Hassan

Abstract

This paper develops an adaptive sliding mode control based on fuzzy systems. In this control technique, the possibilities offered by Sugeno type fuzzy systems, in terms of their ability to approximate continuous nonlinear functions, are exploited, and the Lyapunov theory is used to establish a parametric adaptation law ensuring the global stability of the system. In addition, the control law includes a sliding mode term, which has the role of compensating the effects of the reconstruction errors. This technique is applied to control a permanent magnet synchronous machine.
The results obtained show the effectiveness of the proposed method.

Citation

Nouri, H. (2021). Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine. Nonlinear Dynamics and Systems Theory, 21(5), 457–470

• Journal Article Type: Article
• Acceptance Date: Nov 8, 2021
• Online Publication Date: Dec 14, 2021
• Publication Date: Dec 2, 2021
• Deposit Date: Dec 15, 2021
• Publicly Available Date: Jan 3, 2022
• Journal: Nonlinear Dynamic and System Theory
• Print ISSN: 1562-8353
• Peer Reviewed: Peer Reviewed
• Volume: 21
• Issue: 5
• Pages: 457–470
• Public URL: https://uwe-repository.worktribe.com/output/8264202
• Publisher URL: https://e-ndst.kiev.ua/v21n5.htm