Analysis of torsional vibration characteristics for wind turbine drivetrain under external excitation

被引:1
|
作者
Yang, Jianxiang [1 ]
Zhang, Jinliang [1 ,3 ]
Wang, Pei [2 ]
机构
[1] Guangdong Polytech Normal Univ, Sch Automat, Guangzhou, Peoples R China
[2] Gac Aean New Energy Automobile Co LTD, Guangzhou, Peoples R China
[3] Guangdong Polytech Normal Univ, Sch Automat, 293 Zhongshan Ave West, Guangzhou 510665, Peoples R China
基金
中国博士后科学基金;
关键词
wind turbine drivetrains; electromechanical coupling; torsional vibration; multi-scale method; Melnikov method; DYNAMIC-ANALYSIS; DIRECT-DRIVEN; CHAOS CONTROL; SYSTEM; BIFURCATION;
D O I
10.1177/10775463241237855
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This work studies the torsional vibration characteristics analysis of the wind turbine drivetrain with the variation of internal parameter and external excitation. The electromechanically coupled torsional vibration model for wind turbine drivetrain is first established by taking into account the torsional vibration angle of the PMSG. Then, frequency response analysis of main parametric resonance is illustrated by multiple scale method, and the influences of the system parameters involving power factor angle, number of pole pairs, torsional stiffness, and wind speed excitation on the torsional vibration characteristics of wind turbine drivetrain are investigated. Moreover, the critical condition for homoclinic chaos in terms of the system parameters is derived by means of Melnikov's method. The function relationship and the boundary curve of chaos threshold are obtained. Meanwhile, the effects of excitation amplitude and damping factor on the system transition to chaos are studied in detail. The analytical predictions including phase portrait, bifurcation diagram and Lyapunov exponent are investigated. The research results can offer a theoretical basis for further the parameter design and control of wind turbine drivetrain.
引用
收藏
页码:1057 / 1070
页数:14
相关论文
共 50 条
  • [21] Vibration attenuation performance of wind turbine tower using a prestressed tuned mass damper under seismic excitation
    Lei, Zhenbo
    Liu, Gang
    Wang, Hui
    Hui, Yi
    EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION, 2024, 23 (02) : 511 - 524
  • [22] Analysis of vibration characteristics and adaptive continuous perturbation control of some torsional vibration system with backlash
    Liu, Shuang
    Ai, Hongling
    Lin, Zhenjun
    Meng, Zong
    CHAOS SOLITONS & FRACTALS, 2017, 103 : 151 - 158
  • [23] Response calculation and analysis of torsional vibration of turbine-generator shafts
    Zhi, Zhang
    Dongmei, Du
    Qing, He
    Proceedings of the ASME Power Conference, 2006, : 343 - 347
  • [24] A system of calculation and analysis of torsional vibration for turbine-generator shafts
    Dongmei, Du
    Zhi, Zhang
    Qing, He
    Proceedings of the ASME Power Conference 2007, 2007, : 271 - 274
  • [25] Global Dynamic Characteristic of Nonlinear Torsional Vibration System under Harmonically Excitation
    Shi Peiming
    Liu Bin
    Hou Dongxiao
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2009, 22 (01) : 132 - 139
  • [27] Signal Analysis of Torsional Vibration of Transmission System Cause by Pavement Excitation
    Lei, Nan-lin
    Zhang, Tie-shan
    Wang, Fan-bi
    3RD INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHANICAL AUTOMATION (3RD AMMA 2017), 2017, : 39 - 43
  • [28] Electromagnetic excitation characteristics of fatigue loading test for wind turbine blades
    Zhang Q.
    Huang X.
    Zhang L.
    Yu L.
    Wang J.
    Sui W.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (01): : 1 - 5
  • [29] Shaft Torsional Vibration Response of Vertical Axis Ocean Current Turbine Model Due to Torque Excitation
    Husodo, Adi Wirawan
    Utama, I. Ketut Aria Pria
    Ariana, I. Made
    MAKARA JOURNAL OF TECHNOLOGY, 2010, 14 (02): : 133 - 137
  • [30] Nonlinear dynamic analysis of GTF gearbox under friction excitation with vibration characteristics recognition and control in frequency domain
    Wang, Siyu
    Zhu, Rupeng
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 151