Noninteracting Adaptive Control of PMSM Using Interval Type-2 Fuzzy Logic Systems

Author

Barkat, Said ; Tlemçani, Abdelhalim ; Nouri, Hassan

Author_Institution

Res. Lab. in Electr. Eng. & Autom., Univ. Docteur Yahia Fares de Medea, Médéa, Algeria

Volume

19

Issue

5

fYear

2011

Firstpage

925

Lastpage

936

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 Lyapunov´s 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.

Keywords

Lyapunov methods; adaptive control; closed loop systems; decentralised control; fuzzy control; fuzzy logic; permanent magnet motors; power system interconnection; stability; synchronous motors; Lyapunov stability; PMSM; closed loop system; decentralized controller; interconnection effects; interval type-2 fuzzy logic; noninteracting adaptive control; permanent magnet synchronous motor; reconstruction errors; Adaptation model; Adaptive control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Permanent magnet motors; Uncertainty; Decentralized adaptive control; Lyapunov stability theorem; interconnections effect; permanent magnet synchronous motor (PMSM); reconstruction errors; sliding mode term; type-2 fuzzy logic systems;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/TFUZZ.2011.2152815

Filename

5765669