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Robust High-Gain Control for Maximum Power Point Tracking of Variable-Speed Wind Turbines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Wind turbines are a key technology in sustainable energy generation, but their performance is often challenged by strong aerodynamic disturbances, parameter uncertainties, and rapidly varying operating conditions. Achieving reliable maximum power point tracking (MPPT) under such conditions requires control strategies with fast dynamic response and strong robustness. This paper proposes a robust high-gain control scheme for MPPT of variable-speed wind turbines. The method uses high-gain feedback to enforce accurate rotor speed tracking while attenuating the effects of unmodeled dynamics and external disturbances. By appropriately tuning the gain parameters, the controller achieves rapid error convergence without sacrificing robustness or stability. A rigorous Lyapunov-based analysis establishes closed-loop stability under model uncertainties. Simulation studies, conducted under both smooth and highly turbulent wind profiles, demonstrate that the proposed high-gain control achieves faster tracking, improved disturbance rejection, and higher energy capture efficiency, while maintaining smooth control actions suitable for practical implementation.

Original languageEnglish
Title of host publication2025 Saudi Arabia Smart Grid, SASG 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331577506
DOIs
StatePublished - 2025
Event2025 Saudi Arabia Smart Grid, SASG 2025 - Riyadh, Saudi Arabia
Duration: 15 Dec 202518 Dec 2025

Publication series

Name2025 Saudi Arabia Smart Grid, SASG 2025

Conference

Conference2025 Saudi Arabia Smart Grid, SASG 2025
Country/TerritorySaudi Arabia
CityRiyadh
Period15/12/2518/12/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • High gain control
  • Lyapunov theory
  • maximum power point tracking
  • offshore wind turbines
  • renewable energy
  • robustness
  • wind energy conversion system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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