针对现阶段运行状态下风力机叶片振动测量方法中,加速度传感器常布设到风力机机头靠近风轮处,导致测量结果易受干扰的问题。基于叶片受力分析和应变模态理论,将叶片上应变传感器采集的原始信号分解为叶片应变信号与振动信号的叠加,设计一种基于应变模态理论和变分模态分解的叶片振动感知方法。通过设计静态模态实验和模拟动态偏航的叶片振动实验,对叶片表面应变和机头振动信号进行对比分析,表明叶片振动感知方法在频域和时频域上均能正确识别叶片振动特征,且其谱线更清晰,受干扰更小,从而为动态偏航运行工况下风力机叶片振动测量提供了一种新方法,可为风力机叶片安全、可靠运行提供技术支持。
Abstract
The acceleration sensor of wind turbine blades is usually placed near the wind turbine head, and it leads to the complex interference of wind turbine vibration signal. Based on the stress analysis of wind blade and strain mode theory, the original strain signals collected on the blade surface is decomposed into blade strain signals and blade vibration signals,and a blade vibration sensing method based on strain mode theory and variational mode decomposition is designed in this paper. By the comparison and analysis of blade strain and wind turbine head vibration through static modal test and blade vibration experiments under the condition of dynamic yaw, it is verified that the blade vibration signal can be positively identified both in frequency-domain and time-frequency domain with more clear spectrum and less interference than those of wind turbine head vibration signal. The sensing method proposed in this paper provides a new strategy for vibration measurement of wind turbine blades under dynamic yaw operation,and it can provide technical support for the safe and reliable operation of wind turbine blades.
关键词
风力机叶片 /
动态偏航 /
振动感知 /
叶片应变 /
变分模态分解 /
应变模态理论
Key words
wind turbine blades /
dynamic yaw /
vibration sensing /
blade strain /
varational modal decomposition /
strain mode theory
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基金
内蒙古自治区自然科学基金面上项目（2020MS05005）
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