Robust sliding mode hybrid controller applied to a wind energy conversion system based on a doubly-fed induction generator to overcome mechanical parameters uncertainties. (15th June 2023)

• Record Type: Journal Article
• Authors: Dahri, Nabil; Ouassaid, Mohammed; Yousfi, Driss
• Is Part Of: International journal of powertrains. Volume 12:Number 2(2023)
• Page Start: 99
• Page End: 123
• Publication Date: 2023-06-15
• Subjects: sliding mode hybrid controller -- wind energy conversion system -- WECS -- doubly-fed inductance generator -- DFIG -- mechanical parameters uncertainties -- fuzzy hybrid controller; Motor vehicles -- Power trains -- Periodicals; 629.25
• Languages: English
• ISSNs: 1742-4267

Abstract

The maximisation of the power production in a wind energy conversion system (WECS) based on a doubly-fed induction generator (DFIG) needs the control of the angular speed of the wind turbine. However, the different uncertainties that affect the estimation of the mechanical parameters of the WECS are a major problem faced by the speed controlling task. In this paper, a sliding mode hybrid controller (SMHC) is developed. The proposed controller ensures finite-time and fast convergence to steady-state, accurate tracking of the optimal angular speed, higher robustness against mechanical parameters uncertainties, and reduced overshoots in case of a sudden change in the wind velocity. A comparative study of the proposed controller's performances with the fuzzy hybrid controller (FHC) and the classical PI controller is conducted in different mechanical parameters uncertainties and varying wind conditions. Simulation results prove the efficiency of the SMHC compared to the FHC and the PI controller.