基于半功率谱pLSCF 法的风电塔筒模态参数识别
蔡凯
（国能陕西新能源发电有限公司，陕西 西安 710000）
摘要： 针对大型风力发电机组塔筒模态参数辨识问题， 采用半功率谱结合pLSCF 法（poly-reference Least Squares
Complex Frequency-domain， 多参考点最小二乘复频域法） 的模态参数辨识方法， 利用稳定图法筛除虚假模态， 以确定模
态阻尼比和固有频率， 通过2 MW 风力发电机组有限元仿真和现场模态测试结果验证了该辨识方法的有效性， 同时与SSI
法（Stochastic Subspace Identification， 随机子空间法） 所识别的模态参数结果进行对比。结果表明， 基于半功率谱的
pLSCF 法在风电塔筒的模态参数识别中具有更高的精度， 具有较高的工程应用价值。
关键词： 模态参数辨识； pLSCF； 稳定图法； SSI
中图分类号： TK83 文献标志码： A 文章编号： 2095-0802-(2023)11-0042-07
Modal Parameter Identification of Wind Turbine Towers by pLSCF Based on Half
Power Spectrum
CAI Kai
(Guoneng Shaanxi New Energy Power Generation Co., Ltd., Xi'an 710000, Shaanxi, China)
Abstract: Aiming at the problem of modal parameter identification of large wind turbine tower, a modal parameter identification
method based on half power spectrum combined with pLSCF (poly -reference Least Squares Complex Frequency -domain) was
adopted, and the stability diagram method was used to sieve out the spurious modes, so as to determine the modal damping ratio
and the intrinsic frequency, which was verified by the finite element simulation and the results of on-site modal test of a 2 MW
wind turbine generator system, and the results of modal parameters identified by the method were compared with the results of
modal parameter identification by SSI (Stochastic Subspace Identification). The results show that pLSCF based on half power
spectrum has higher accuracy in the modal parameter identification of wind turbine tower and has high engineering application value.
Key words: modal parameter identification; pLSCF; stability diagram method; SSI