基于稳态简谐激励的风力机模态参数识别研究

王朝伟, 陈超, 杨计刚, 杨永焱, 刘现鹏, 华旭刚

太阳能学报 ›› 2024, Vol. 45 ›› Issue (12) : 331-341.

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (12) : 331-341. DOI: 10.19912/j.0254-0096.tynxb.2023-1328

基于稳态简谐激励的风力机模态参数识别研究

  • 王朝伟1,2, 陈超1,2, 杨计刚3, 杨永焱3, 刘现鹏4, 华旭刚1,2
作者信息 +

STUDY ON MODAL PARAMETER IDENTIFICATION OF WIND TURBINES BASED ON STEADY-STATE HARMONIC EXCITATIONS

  • Wang Zhaowei1,2, Chen Chao1,2, Yang Jigang3, Yang Yongyan3, Liu Xianpeng4, Hua Xugang1,2
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摘要

该文提出基于稳态简谐激励识别固定式风力机模态参数的方法,并可考虑其迎风向和侧风向的气动阻尼耦合。该研究建立考虑惯性激振器单元的有限元模型,分析激振器质量、激振频率范围、间隔、激振力幅值以及湍流风对识别结果的影响,并选择不同激振频率以及激振器运动质量块重量对激振器的行程进行分析;此外还通过全耦合OpenFAST数值模型将采用稳态简谐激励方法、随机子空间法以及自由衰减识别方法的模态参数识别结果进行比较,结果表明:利用惯性激振器对风力机停机、运行状态进行稳态简谐激励识别其模态参数是完全可行的,并且识别结果相对环境激励法等常用方法更加可靠。

Abstract

This paper proposes a method of modal parameter identification for wind turbines based on steady-state harmonic excitations, considering the coupling of fore-aft and side-side aerodynamic damping. In this study, a finite element model was established considering the inertial exciter element. The influences of the exciter mass, exciting frequency range and interval, exciting force amplitude and turbulent wind on the identification results were analyzed. The effective stroke of the inertia exciter was analyzed by selecting different excitation frequencies and the weight of the movable mass. The identified parameters by the steady-state harmonic excitation method in this paper were compared with the identified results obtained by the stochastic subspace identification method and free decay identification method through the fully coupled OpenFAST numerical simulations. The results show that the steady-state harmonic excitation method is completely feasible to identify the modal parameters of wind turbines no matter they are parked or operating, and the identification results are more reliable.

关键词

风力机 / 模态分析 / 频率响应 / 系统识别 / 阻尼矩阵

Key words

wind turbines / modal analysis / frequency response / system identification / damping matrix

引用本文

导出引用
王朝伟, 陈超, 杨计刚, 杨永焱, 刘现鹏, 华旭刚. 基于稳态简谐激励的风力机模态参数识别研究[J]. 太阳能学报. 2024, 45(12): 331-341 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1328
Wang Zhaowei, Chen Chao, Yang Jigang, Yang Yongyan, Liu Xianpeng, Hua Xugang. STUDY ON MODAL PARAMETER IDENTIFICATION OF WIND TURBINES BASED ON STEADY-STATE HARMONIC EXCITATIONS[J]. Acta Energiae Solaris Sinica. 2024, 45(12): 331-341 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1328
中图分类号: TK83   

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基金

国家自然科学基金(52108280); 国家杰出青年科学基金(52025082); 湖南省自然科学基金(2023JJ70001)

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