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As offshore wind turbines increase in size, tower vibration issues become increasingly apparent. This paper introduces an innovative micro-pitch vibration control approach utilizing frequency adaptive technology for large-scale monopile-fixed horizontal-axis offshore wind turbines. It addresses the deviation of the tower's natural frequency from the nominal value under prolonged cyclic loads and pile-soil coupling in high wind speed regions. The article outlines several crucial technologies, including frequency online estimation, adaptive anti-notch filtering, and damping gain control. Notably, accurate online identification of the dominant frequency of tower vibration is achieved using a frequency estimator based on the least squares method. An adaptive anti-notch filter, centered around the estimated dominant frequency, enhances control over the dominant frequency component of vibration. Subsequently, the filtered vibration input signal undergoes damping gain control to augment the tower's equivalent damping of motion mode, thereby mitigating vibration. Joint simulation tests conducted using OpenFAST-Simulink demonstrate the significant suppression effect of this method on tower vibration.

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Vibration Suppression Strategy for the Monopile-Fixed Large Offshore Wind Turbine Tower Based on an Adaptive Frequency Technique

  • 会议论文

  • 发表日期：

    2025年

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  • Ziyang Chen,
  • Yanfei Cao,
  • Tingna Shi,
  • Peng Song,
  • Yan Yan

摘要

As offshore wind turbines increase in size, tower vibration issues become increasingly apparent. This paper introduces an innovative micro-pitch vibration control approach utilizing frequency adaptive technology for large-scale monopile-fixed horizontal-axis offshore wind turbines. It addresses the deviation of the tower's natural frequency from the nominal value under prolonged cyclic loads and pile-soil coupling in high wind speed regions. The article outlines several crucial technologies, including frequency online estimation, adaptive anti-notch filtering, and damping gain control. Notably, accurate online identification of the dominant frequency of tower vibration is achieved using a frequency estimator based on the least squares method. An adaptive anti-notch filter, centered around the estimated dominant frequency, enhances control over the dominant frequency component of vibration. Subsequently, the filtered vibration input signal undergoes damping gain control to augment the tower's equivalent damping of motion mode, thereby mitigating vibration. Joint simulation tests conducted using OpenFAST-Simulink demonstrate the significant suppression effect of this method on tower vibration.