Fractional-order fuzzy controller for a PMSG wind turbine system

Abstract

This paper presents a novel Takagi–Sugeno (T-S) fractional-order fuzzy logic control for a permanent magnet synchronous generator wind turbine (PMSG-WT) system. The proposed control strategy is composed of two parts. Firstly, a fractional reference model of the PMSG-WT nonlinear system is provided using T-S model and fractional calculus in order to ensure an accurate and robust model of the system. Secondly, the feedback controller gains are determined by resolving a set of linear matrix inequalities. The effectiveness and the validity of the proposed approach are demonstrated using numerical simulations.

KEYWORDS:

• Fractional-order fuzzy logic control
• Linear matrix inequality
• PMSG
• T-S fuzzy model
• wind energy conversion system

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Belgacem Herissi

Belgacem Herissi received his B.S and M.S degrees in Automatic control from Tebessa University, Algeria in 2014 and 2016, respectively. He is currently Ph.D. candidate at the Guelma University, Algeria. He is a member of the Advanced Control Laboratory of Guelma University, Algeria. His interests include issues related to fractional order modelling and control systems, fuzzy control, renewable energy, power electronics and drives.

Djalil Boudjehem

Djalil Boudjehem received his doctorate degree in control systems in 2007 from Constantine university, Algeria. He is a full professor at the department of electronics and telecommunication, Guelma University, and the Head of the Advanced Control Laboratory. His interests include issues related to design of fractional control systems, predictive control and developing meta-heuristic algorithms for global optimization. He is author of a great deal of research studies published at national and international journals, conference proceedings as well as book chapters.