Title: Robust sliding mode hybrid controller applied to a wind energy conversion system based on a doubly-fed induction generator to overcome mechanical parameters uncertainties

Authors: Nabil Dahri; Mohammed Ouassaid; Driss Yousfi

Addresses: Engineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat, Morocco ' Engineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat, Morocco ' ESETI Laboratory, National School of Applied Sciences, Mohammed First University in Oujda, Oujda, Morocco

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.

Keywords: sliding mode hybrid controller; wind energy conversion system; WECS; doubly-fed inductance generator; DFIG; mechanical parameters uncertainties; fuzzy hybrid controller.

DOI: 10.1504/IJPT.2023.131548

International Journal of Powertrains, 2023 Vol.12 No.2, pp.99 - 123

Received: 11 Feb 2022
Accepted: 31 May 2022
Published online: 19 Jun 2023 *

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