Title: A continuous-time fault-tolerant predictive control approach for wind turbines

Authors: Rime El Houti; Selma Sefriti; Ismail Boumhidi

Addresses: LISAC Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' LISAC Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' LISAC Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Abstract: This paper presents a fault-tolerant control technique for the wind turbine system. The proposed approach is a combination of an additive sliding mode with a predictive model-based controller. The online continuous-time model predictive controller (CMPC) is designed to be a nominal controller for maximum power tracking and tolerates the actuator loss of faults, while the additive term is responsible for ensuring more robustness with respect to the various actuator faults. The considered controller uses the full state of the system, so, a robust observer is proposed for estimating the full state needed in the control law. The obtained results in the simulation part show the efficiency of the proposed method for both maximum power tracking and handling the system actuator faults.

Keywords: predictive control; fault-tolerant control; FTC; sliding mode observer; wind turbine.

DOI: 10.1504/IJMIC.2023.129476

International Journal of Modelling, Identification and Control, 2023 Vol.42 No.2, pp.163 - 170

Received: 25 Sep 2021
Accepted: 18 Feb 2022

Published online: 10 Mar 2023 *

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