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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Wind Energy
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1429877

Adaptive Passive Fault Tolerant Control of DFIG-based Wind Turbine using a self-tuning Fractional Integral Sliding Mode Control

Provisionally accepted
Imene Bouguettah Imene Bouguettah 1Manal Messadi Manal Messadi 1Karim Kemih Karim Kemih 1Ahmad Taher Azar Ahmad Taher Azar 2,3,4*Ahmed Redha Mahlous Ahmed Redha Mahlous 2,3
  • 1 University of Jijel, Jijel, Jijel, Algeria
  • 2 College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
  • 3 Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia
  • 4 Faculty of Computer and Artificial Intelligence, Benha University, Benha, Egypt

The final, formatted version of the article will be published soon.

    Controlling variable wind speed turbine (VWT) system based on a doubly fed induction generator (DFIG) is a challenging task. It requires a control law that is both adaptable and robust enough to handle the complex dynamics of the closed control loop system. Sliding mode control (SMC) is a robust control technology that has shown good performance when employed as a passive fault-tolerant control for wind energy systems. To improve the closed control loop of VWT based on DFIG with the aim of improving energy efficiency, even in presence of nonlinearities and a certain range of bounded parametric uncertainties, whether electrically or mechanically, an adaptive passive fault tolerant control (AP-FTC) based on a self-tuning fractional integral sliding mode control law (ST-FISMC) developed from a novel hyperbolic fractional surface is proposed in this paper. ST-FISMC introduces a nonlinear hyperbolic function into the sliding manifold for self-tuning adaptation of control law, while fractional integral of the control law smooths discontinuous sign function to reduce chattering. Additionally, this work introduces an adaptive observer, developed and proved based on a chosen Lyapunov function. This observer is designed to estimate variations in electrical parameters and stator flux, ensuring sensorless decoupling in indirect field-oriented control (SI-FOC) of DFIG. Lyapunov theory is also used to prove stability of states vectors in closed control loop with presence of bounded parameters uncertainties or external disturbances. Simulation results show that the proposed approach offers better performance in capturing optimal wind energy, as well as the ability to regulate active/reactive power and high resilience in presence of occurring parameter uncertainties or external disturbances.

    Keywords: Variable wind turbine, self-tuning fractional integral sliding mode control, hyperbolic fractional surface, Chattering reduction, Adaptive observer, flux estimation, parameter variation estimation

    Received: 08 May 2024; Accepted: 18 Jul 2024.

    Copyright: © 2024 Bouguettah, Messadi, Kemih, Azar and Mahlous. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ahmad Taher Azar, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

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