Noninteracting adaptive control of PMSM using interval type-2 fuzzy logic systems

Tlem�ani, Abdelhalim; Barkat, Said; Nouri, Hassan

Abstract

Based on the type-2 fuzzy logic systems and adaptive control theory, this paper develops a decentralized adaptive fuzzy controller for a permanent magnet synchronous motor (PMSM). The adaptive law is designed to compensate for the interconnection effects and the reconstruction errors, using a sliding mode term. The type-2 fuzzy logic systems are used to model the unknown functions. Based on Lyapunovs stability theorem, the stability of closed-loop systems can be verified. Moreover, the proposed overall control schemes guarantee that all the signals that are involved are bounded. To demonstrate the effectiveness of the proposed methods, simulation results are illustrated in this paper. © 2011 IEEE.

• Journal Article Type: Article
• Publication Date: Jan 1, 2011
• Journal: IEEE Transactions on Fuzzy Systems
• Print ISSN: 1063-6706
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 5
• Pages: 925-936
• DOI: https://doi.org/10.1109/TFUZZ.2011.2152815
• Keywords: decentralized adaptive control, lyapunov stability; theorem, interconnections effect, permanent magnet synchronous motor (PMSM), reconstruction errors, sliding mode term, type-2 fuzzy logic systems
• Public URL: https://uwe-repository.worktribe.com/output/962667
• Publisher URL: http://dx.doi.org/10.1109/TFUZZ.2011.2152815