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In this work, Sliding Mode Control (SMC) was proposed to optimize wind energy production and enhance performance of wind systems, by the combination of Maximum Power Point Tracker (MPPT) and (SMC) as a speed control strategy. The proposed controller is based on the Lyapunov stability theory. Conventional controllers such as Proportional-Integral (PI) have always had difficulty dealing with nonlinear dynamics, strong disturbances, and parameter changes. (SMC) has the ability to provide better robustness, very high precision, and stability even under varying wind conditions. The study, design, and simulation of this proposed method validated the effectiveness of this control strategy compared to conventional controllers. In this paper, simulation and studies have confirmed that (SMC) is more efficient than traditional controllers (PI). The results of this work can also be exploited to advance control strategies in wind systems, showing the potential to strongly improve the overall performance and efficacy of wind turbines.

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Wind Power Production Optimization: MPPT Integrating PI and Sliding Mode Control

  • 会议论文

  • 发表日期：

    2026年

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  • Aziz Chahbi,
  • Mourad Yessef,
  • Amine Amharech,
  • Hatim Ameziane

摘要

In this work, Sliding Mode Control (SMC) was proposed to optimize wind energy production and enhance performance of wind systems, by the combination of Maximum Power Point Tracker (MPPT) and (SMC) as a speed control strategy. The proposed controller is based on the Lyapunov stability theory. Conventional controllers such as Proportional-Integral (PI) have always had difficulty dealing with nonlinear dynamics, strong disturbances, and parameter changes. (SMC) has the ability to provide better robustness, very high precision, and stability even under varying wind conditions. The study, design, and simulation of this proposed method validated the effectiveness of this control strategy compared to conventional controllers. In this paper, simulation and studies have confirmed that (SMC) is more efficient than traditional controllers (PI). The results of this work can also be exploited to advance control strategies in wind systems, showing the potential to strongly improve the overall performance and efficacy of wind turbines.