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This study showcases the pivotal role of fuzzy controllers in system control improvement. We applied this approach to enhance the efficiency of MPPT based on an optimal Tip Speed Ratio (TSR) technique for wind turbines. Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The main drawback is that the system is highly nonlinear, and thus a nonlinear control strategy is required. By combining a fuzzy controller with a sliding mode controller via a fuzzy supervisory system, a hybrid controller is proposed. The robustness of the suggested control technique is demonstrated through simulation results, which effectively preserve system stability.

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Improved TSR Based MPPT Control Using Hybrid Fuzzy Sliding Mode Control for Wind Turbines

  • 会议论文

  • 发表日期：

    2025年

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  • Rania Kadri,
  • Mohamed Abid,
  • Aissaoui Abdelghani

摘要

This study showcases the pivotal role of fuzzy controllers in system control improvement. We applied this approach to enhance the efficiency of MPPT based on an optimal Tip Speed Ratio (TSR) technique for wind turbines. Our study is developed on a wind conversion system in order to produce optimum power (to extract the maximal wind power). The main drawback is that the system is highly nonlinear, and thus a nonlinear control strategy is required. By combining a fuzzy controller with a sliding mode controller via a fuzzy supervisory system, a hybrid controller is proposed. The robustness of the suggested control technique is demonstrated through simulation results, which effectively preserve system stability.