Fuzzy reference model H integral fuzzy maximum power tracking of WECS based-on DFIG

• Main Authors: Houda, Keltoum, Saifia, Dounia, Chadli, Mohamed, Nasri, Mohamed
• Format: Conference Proceeding
• Language: English
• Subjects: doubly fed induction generator; Doubly fed induction generators; Fuzzy control; H_{\infty} criteria performance; linear matrix inequality; Maximum power point trackers; maximum power point tracking; Nonlinear dynamical systems; Rotors; Stators; Takagi-Sugeno fuzzy model; Wind energy conversion system; Wind speed
• ISSN: 2474-0446
• DOI: 10.1109/SSD54932.2022.9955730

This paper presents a new fuzzy control design for maximum power point tracking (MPPT) of wind energy conversion systems (WECS) using a doubly fed induction generator (DFIG) based on H_{\infty} optimal control. In the first place, a new nonlinear reference model is developed for describing the optimal dynamic of the doubly fed induction generator (DFIG). In the second place, the nonlinear dynamic behaviour of the real system and its reference model are represented by a Takagi-Sugeno (TS) fuzzy model. Then, using a fuzzy proportional integral state feedback controller, a novel MPPT strategy for DFIG-based wind energy conversion systems is investigated. The H_{\infty} criteria performance is used to design a robust fuzzy proportional integral state controller under varying wind speed. The H_{\infty} stabilisation conditions are generated and given in terms of linear matrix inequalities (LMI). The estimation of the largest set invariance conditions are proposed as a LMI convex optimization problem. Finally, simulation results show that the proposed fuzzy integral state controller gives a good disturbance rejection and MPPT rapid convergence in the presence of wind's gusts.