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In this paper, a controller based on a soft computing technique, specifically fuzzy logic, is presented and applied to a wind turbine. In the case of floating offshore wind turbines (FOWT), environmental disturbances, especially strong wind and waves, produce structural loads that result in fatigue and damage. In this paper, a fuzzy controller is proposed that, in addition to optimizing power generation in the sub-nominal wind speed operation region of a FOWT, also reduces tower vibrations. The control strategy uses the angular velocity of the generator and the acceleration of the top of the tower to obtain the output torque needed to achieve system performance and improve stability. This fuzzy control is compared with the OpenFAST speed-torque control, achieving a suppression rate of 32% while maintaining the output power.

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First Approach of an Electromechanical Fuzzy Logic Controller for MPPT Wind Turbine Control

  • 会议论文

  • 发表日期：

    2025年

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  • Eduardo Muñoz-Palomeque,
  • Jesús Enrique Sierra-García,
  • Matilde Santos

摘要

In this paper, a controller based on a soft computing technique, specifically fuzzy logic, is presented and applied to a wind turbine. In the case of floating offshore wind turbines (FOWT), environmental disturbances, especially strong wind and waves, produce structural loads that result in fatigue and damage. In this paper, a fuzzy controller is proposed that, in addition to optimizing power generation in the sub-nominal wind speed operation region of a FOWT, also reduces tower vibrations. The control strategy uses the angular velocity of the generator and the acceleration of the top of the tower to obtain the output torque needed to achieve system performance and improve stability. This fuzzy control is compared with the OpenFAST speed-torque control, achieving a suppression rate of 32% while maintaining the output power.