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作 者:王朝伟 陈超[1,2] 杨计刚 杨永焱 刘现鹏[4] 华旭刚[1,2] Wang Zhaowei;Chen Chao;Yang Jigang;Yang Yongyan;Liu Xianpeng;Hua Xugang(Key Laboratory of Wind Engineering and Bridge Engineering of Hunan Province,Hunan University,Changsha 410082,China;State Key Laboratory of Bridge Engineering Safety and Resilience,Hunan University,Changsha 410082,China;Hebei Construction Investment Offshore Wind Power Co.,Ltd.,Tangshan 063600,China;Tianjin Research Institute of Water Transport Engineering,Tianjin 300456,China)
机构地区:[1]湖南大学风工程与桥梁工程湖南省重点实验室,长沙410082 [2]湖南大学桥梁工程安全与韧性全国重点实验室,长沙410082 [3]河北建投海上风电有限公司,唐山063600 [4]交通运输部天津水运工程科学研究所,天津300456
出 处:《太阳能学报》2024年第12期331-341,共11页Acta Energiae Solaris Sinica
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)。
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。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.
分 类 号:TK83[动力工程及工程热物理—流体机械及工程]
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