Dynamics modeling of wind turbine blade-tower coupled system based on multibody system transfer matrix method and vibration suppression

被引:0
|
作者
Chen, Dongyang [1 ,2 ,3 ]
Zhang, Xinsheng [1 ,2 ]
Dong, Genjin [1 ]
Luo, Yang [2 ]
Pan, Guang [2 ]
机构
[1] Northwestern Polytech Univ, Ocean Inst, Suzhou 215000, Peoples R China
[2] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
[3] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen 518063, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Wind turbine; Multibody system transfer matrix method; Vortex-induced vibration; Nonlinear energy sink; CIRCULAR-CYLINDER;
D O I
10.1016/j.oceaneng.2025.120821
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
As a typical thin-walled column structure, wind turbines are susceptible to strong wind, resulting in fluid- structure coupled vibration. For multi-rigid-flexible body systems represented by wind turbines, predicting vibration characteristics accurately and quickly is of great significance. This paper establishes the dynamic model of the wind turbine blade-tower coupled system based on the Multibody System Transfer Matrix Method (MSTMM). The accuracy of the model is verified through comparison with references. On this basis, the Nonlinear Energy Sink (NES) is added to the model to establish the dynamic model of the tower of the wind turbine with NES. By combining the wind load model to simulate the wake motion of the structure, the suppression of vortex-induced vibration of the structure with NES is conducted. The results show that for vortex- induced vibration of three-dimension cylinder structures at high Reynolds numbers, NES has better vibration suppression effects compared to TMD. Within a certain range, the higher the mass ratio, damping ratio, and stiffness ratio of NES, the more significant the vibration suppression effect. When the NES mass ratio is 3%, the damping ratio is 5%, the suppression effect of wind turbine is best. The higher the tower, the more obvious the effect, up to 20%. The stiffness ratio has little influence. The process of establishing the dynamic model of wind turbines proposed based on MSTMM is simple, only requiring the assembly of the transfer matrices of each element, while also having the advantages of high computational accuracy and speed. It can provide reference for the dynamic modeling of multi-rigid-flexible body systems and rotating machinery systems.
引用
收藏
页数:21
相关论文
共 49 条
  • [21] Camera-Based Portable System for Wind Turbine Blade Tip Clearance Measurement
    He, Lihan
    Qiu, Hai
    Fu, Xu
    Wu, Zhilin
    2013 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST 2013), 2013, : 452 - 457
  • [22] Vibration Detection and Analysis of Wind Turbine Based on a Wireless Embedded Microcontroller System
    Tzeng, Ching-Biau
    PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ), 2018, : 133 - 136
  • [23] Dynamic stall modeling of wind turbine blade sections based on a data-knowledge fusion method
    Shi, Zijie
    Gao, Chuanqiang
    Dou, Zihao
    Zhang, Weiwei
    ENERGY, 2024, 305
  • [24] PI/FL Based Blade Pitch Angle Control for Wind Turbine Used in Wind Energy Conversion System
    Kumar, Harish
    Gupta, Ankit
    Pachauri, Rupendra Kumar
    Chauhan, Yogesh K.
    2015 INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION AND POWER ENGINEERING (RDCAPE), 2015, : 15 - 20
  • [25] Suppression of Broadband Forced Torsional Vibration of Doubly-Fed Wind Turbine Shaft System Based on RBFNN-MRAC
    Li, Zhaohui
    Wang, Xiaolan
    Wei, Tenfei
    Hao, Rui
    Wang, Jiarui
    Wang, Lixin
    Yue, Meng
    PROCEEDINGS OF 2023 INTERNATIONAL CONFERENCE ON WIRELESS POWER TRANSFER, VOL 3, ICWPT 2023, 2024, 1160 : 263 - 271
  • [26] Application research of an efficient communication method in the wind-turbine vibration monitoring system based on Socket protocol
    Wang Qinghua
    Huang Bingbing
    Shen Runjie
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 604 - 606
  • [27] Analysis of fluid flow and heat transfer on a solar updraft tower power plant coupled with a wind turbine using computational fluid dynamics
    Gholamalizadeh, Ehsan
    Chung, Jae Dong
    APPLIED THERMAL ENGINEERING, 2017, 126 : 548 - 558
  • [28] Modeling and Control of DFIG Based Wind Turbine/Storage System in Is landed Operation
    Liu, Haihua
    Ma, Hongzhong
    Chen, Lin
    Li, Guanghe
    Liu, Tongkuang
    Zhao, Feng
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 1118 - +
  • [29] Measurement and control method of clearance between wind turbine tower and blade-tip based on millimeter-wave radar sensor
    Zhang, Le
    Wei, Jiadan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 149
  • [30] Preliminary exploration on the multi-element system transfer matrix method for artificial system dynamics
    Rui, Xiaoting
    Wang, Xun
    Rui, Xue
    CHINESE SCIENCE BULLETIN-CHINESE, 2023, 68 (25): : 3250 - 3258