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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Wind Energy
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1434695

Sliding Mode Control based on Maximum power point Tracking for Dynamics of Wind Turbine System

Provisionally accepted
Borhen Torchani Borhen Torchani 1*Ahmad Taher Azar Ahmad Taher Azar 2,3,4*Saim Ahmed Saim Ahmed 2,3Ahmed Redha Mahlous Ahmed Redha Mahlous 2,3Ibraheem Kasim Ibraheem Ibraheem Kasim Ibraheem 5,6
  • 1 Tunis University, Tunis, Tunis, Tunisia
  • 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
  • 5 College of Engineering, University of Baghdad, Baghdad, Baghdad, Iraq
  • 6 Uruk University, Baghda, Iraq

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

    This article presents a proportional-integral sliding mode control (PI-SMC) approach for a twomass variable speed wind turbine (VSWT) system. Most studies on wind turbines typically focus mainly on the electromagnetic part of the generators, or even on the high-speed part, considering the shaft stiffness as negligible. However, the generator torque is actually driven by the aerodynamic torque, and a two-mass system like the one studied here plays the role of a transmission element for this power. To address this challenge, the problem of low power generation resulting from wind speed variability is tackled by designing a PI-SMC control law, capable of controlling the mechanical turbine model that optimizes power and torque by tracking the maximum power point (MPPT) for rotational speed and aerodynamic power. To validate the developed theoretical results, an application of the wind turbine system is simulated in Matlab/Simulink, for a particular case. The control used is capable of satisfying the dynamic performance of the systems.

    Keywords: Variable speed wind turbine, Two-mass gear train system, Maximum power point tracking, sliding mode control, Proportional integral controller

    Received: 18 May 2024; Accepted: 19 Jul 2024.

    Copyright: © 2024 Torchani, Azar, Ahmed, Mahlous and Kasim Ibraheem. 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:
    Borhen Torchani, Tunis University, Tunis, 1007, Tunis, Tunisia
    Ahmad Taher Azar, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.