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<p>To enhance trajectory tracking performance and ensure stability amidst variable wind disturbances, this study introduces a novel control technique for wind turbines. Our approach synergistically integrates the strengths of Super-Twisting Sliding Mode Control (ST-SMC) and Funnel Control (FC), addressing key control challenges in wind power facilities. The key innovation is the introduction of a new sliding surface for ST-SMC, designed based on Funnel Control principles. We provide rigorous proofs of system convergence and stability, and MATLAB simulations demonstrate the superior effectiveness of the proposed controller across various trajectory control scenarios. Compared to traditional controllers such as PI-FC and FC with scaling, our method exhibits notable improvements in convergence speed, tracking accuracy, and disturbance rejection capabilities. These advancements promise enhanced operational reliability and performance for wind turbines, potentially impacting both current and future wind power systems.</p>

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Funnel control based super-twisting sliding mode control of wind turbines

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月29日

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  • Zaina Ait-Chekdhidh,
  • Aghiles Ardjal,
  • Maamar Bettayeb

摘要

To enhance trajectory tracking performance and ensure stability amidst variable wind disturbances, this study introduces a novel control technique for wind turbines. Our approach synergistically integrates the strengths of Super-Twisting Sliding Mode Control (ST-SMC) and Funnel Control (FC), addressing key control challenges in wind power facilities. The key innovation is the introduction of a new sliding surface for ST-SMC, designed based on Funnel Control principles. We provide rigorous proofs of system convergence and stability, and MATLAB simulations demonstrate the superior effectiveness of the proposed controller across various trajectory control scenarios. Compared to traditional controllers such as PI-FC and FC with scaling, our method exhibits notable improvements in convergence speed, tracking accuracy, and disturbance rejection capabilities. These advancements promise enhanced operational reliability and performance for wind turbines, potentially impacting both current and future wind power systems.