Modal identification of a light and flexible wind turbine blade under wind excitation

被引:2
|
作者
Wagner, Gustavo [1 ]
Lima, Roberta [1 ]
Sampaio, Rubens [1 ]
机构
[1] PUC Rio, Dept Mech Engn, Rua Marques Sao Vicente 225, BR-22451900 Gavea, RJ, Brazil
关键词
Operational modal analysis; Stochastic subspace; System identification; Wind excitation; Wind turbine blade; STOCHASTIC SUBSPACE IDENTIFICATION;
D O I
10.1007/s10665-022-10210-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
System identification is the main goal when performing modal testing of mechanical structures. In cases where only the structural responses are measured, the identification technique is addressed in the literature as operational modal analysis (OMA). Applications of OMA are found in structures where the excitation from the ambient can not be removed or it is the only possible one. Since the ambient forces can not be measured, the identification of the modal parameters is possible if some hypotheses about its random nature are made. In this paper, the modal identification of a small and flexible wind turbine blade is performed under the OMA framework. Although the tested structure was in laboratory condition, traditional experimental modal analysis was not possible due to the small size and high flexibility of the blade. Therefore, this paper demonstrates the importance of OMA in the modal identification of this type of structure (simultaneously light and flexible). An artificially generated wind was used instead as source of excitation, which presented good properties necessary for OMA (stationarity and broadband frequency). The stochastic subspace identification method was used to identify the modal parameters, leading to good identification in a prescribed frequency band of interest. A procedure to analyze and validate the experimental results is also given at the end.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Modal identification of a light and flexible wind turbine blade under wind excitation
    Gustavo Wagner
    Roberta Lima
    Rubens Sampaio
    [J]. Journal of Engineering Mathematics, 2022, 133
  • [2] Vibration-based damage detection in a wind turbine blade through operational modal analysis under wind excitation
    Pacheco-Chérrez J.
    Probst O.
    [J]. Materials Today: Proceedings, 2022, 56 : 291 - 297
  • [3] Modal identification of a wind turbine
    Araujo, D. C.
    Castro, L. C. E.
    Shzu, M. A. M.
    Avila, S. M.
    de Morais, M. V. G.
    [J]. X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 2250 - 2255
  • [4] Operational modal analysis on a wind turbine blade
    Marulo, F.
    Petrone, G.
    D'Alessandro, V.
    Di Lorenzo, E.
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2014) AND INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2014), 2014, : 783 - 797
  • [5] Research sized wind turbine blade modal tests: comparison of the impact excitation with shaker excitation
    Luczak, M. M.
    Peeters, B.
    Manzato, S.
    Di Lorenzo, E.
    Reck-Nielsen, K.
    Berring, P.
    Haselbach, P. U.
    Branner, K.
    [J]. WINDEUROPE CONFERENCE 2018 WITHIN THE GLOBAL WIND SUMMIT, 2018, 1102
  • [6] Research on blade damage identification of active wind turbine based on modal parameters
    Gu Y.
    Feng J.
    Zhang Z.
    Tian Z.
    Gong Y.
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (03): : 350 - 355
  • [7] Modal identification of a wind turbine.
    Araújo, D.C.
    E Castro, L.C.
    Shzu, M.A.M.
    Ávila, S.M.
    De Morais, M.V.G.
    [J]. Procedia Engineering, 2017, 199 : 2250 - 2255
  • [8] Modal and Probabilistic Analysis of Wind Turbine Blade Under Air-Flow
    Sossey-Alaoui, Ismail
    Radi, Bouchaib
    [J]. 2016 4TH IEEE INTERNATIONAL COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST), 2016, : 730 - 735
  • [9] Single Output and Algebraic Modal Parameters Identification of a Wind Turbine Blade: Experimental Results
    Gerardo Trujillo-Franco, Luis
    Francisco Abundis-Fong, Hugo
    Campos-Amezcua, Rafael
    Gomez-Martinez, Roberto
    Irvin Martinez-Perez, Armando
    Campos-Amezcua, Alfonso
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [10] Modal-based damage identification for the nonlinear model of modern wind turbine blade
    Rezaei, Mohammad M.
    Behzad, Mehdi
    Moradi, Hamed
    Haddadpour, Hassan
    [J]. RENEWABLE ENERGY, 2016, 94 : 391 - 409