Quantitative Identification of Wind Turbine Blade Pitch Error Based on Nacelle Acceleration Spectrum Analysis
编号:188 访问权限:仅限参会人 更新:2026-10-19 18:10:44 浏览:5次 张贴报告

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摘要
This paper proposes a quantitative identification method for determining the specific angle of blade pitch error in wind turbines using nacelle acceleration spectrum analysis. A comprehensive simulation campaign was conducted using GH-Bladed 3.82 on a 1.5 MW wind turbine (AE40.25-Y2) under IEC 61400-1 DLC 1.1 conditions, covering 1215 cases with pitch errors ranging from −10° to +10° across 45 wind speeds. Through Fast Fourier Transform (FFT) analysis of the nacelle acceleration in the x-direction, it was discovered that the 1P frequency amplitude increases monotonically with the pitch error magnitude, while the 3P frequency amplitude remains relatively stable. A novel frequency-amplitude ratio parameter (1P to 3P) was introduced and an identification region graph was constructed, enabling pitch error angle determination with an accuracy of 0.5°. An iterative correction strategy was also proposed for large deviation angles. This method requires only the nacelle acceleration signal, which is already monitored by standard wind turbine SCADA systems, making it highly practical for field implementation.
关键词
wind turbine,pitch error,spectrum analysis,nacelle acceleration,frequency-amplitude ratio,quantitative identification
报告人
Jin Xu
Senior Engineer Xi'an Thermal Power Research Institute Co., Ltd

稿件作者
Jin Xu Xi'an Thermal Power Research Institute Co., Ltd
Zhiwen Tian Xi'an Thermal Power Research Institute Co., Ltd
Wei Deng Xi’an Thermal Power Research Institute Co. Ltd
Bufeng Xu Xi'an Thermal Power Research Institute Co.; Ltd
Chong Li Xi’an Thermal Power Research Institute Co. Ltd
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重要日期
  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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