Adaptive Vibration Control of the Maglev Vehicle-Track Coupled High Frequency Resonance

被引:0
|
作者
Zhou, Danfeng [1 ]
Wang, Yichuan [1 ]
Chen, Qiang [1 ]
Yu, Peichang [1 ]
Li, Jie [1 ]
Tan, Yiqiu [1 ]
机构
[1] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Changsha, Peoples R China
关键词
Maglev; track; vibration; resonance; adaptive control;
D O I
10.1109/CAC51589.2020.9326840
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the flexibility of the steel track, self-excited vibration between the electromagnet and the steel track may occur when the EMS (electromagnetic suspension) urban maglev train is suspending above the track in a standstill. The self-excited vibration (track resonance) produces large amplitude high frequency vibration, decreases the ride comfort of the maglev vehicle, and causes fatigues to track components; therefore, the track resonance must be eliminated in a commercial maglev line. In this paper, taking the full-scale maglev multi-span steel track as the study object, a mathematical model of the track is firstly established, taking the vibration modes of the F-rails and sleepers, as well as the flexible track supports, into consideration. Then, a levitation module, which is the fundamental levitation structure for the levitation bogie, is modeled; together with the track model, a maglev vehicle-track coupled model is established. On this basis, the coupling between the two levitation units in one levitation module is investigated, and the stability of the coupled model is analyzed. To solve the track resonance problem, an adaptive vibration control scheme, which includes an LMS (least mean square) tuned finite impulse response filter in the feedback paths, is discussed. Analyses show that this scheme is capable of cancelling the vibratory components mixed in the feedback paths, thus eliminating the maglev vehicle-track coupled high frequency resonance. The scheme discussed in this paper is easy to be applied in digital maglev controllers.
引用
收藏
页码:760 / 765
页数:6
相关论文
共 50 条
  • [21] Modeling uncertainties of vehicle-track coupled dynamic systems
    Wang, Wei
    Zhang, Yahui
    Ouyang, Huajiang
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2021, 49 (07) : 947 - 968
  • [22] Research on acceleration of vibration source from fuzhou metro considering vehicle-track vertical coupled model of vibration
    Zheng, Guochen
    Qi, Ai
    Yan, Xueyuan
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2015, 35 (02): : 328 - 333
  • [23] Simulation of stochastic vibration of maglev track inspection vehicle
    Liu, Xingchu
    Guan, Xiqiang
    Zhang, Jianwu
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (04) : 1927 - 1935
  • [24] Random vibration analysis of an uncertain vehicle-track coupled system based on a polynomial dimensional decomposition
    Liu, F.
    Zhao, Y.
    Li, L. X.
    Xiao, J.
    INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION, 2024, 12 (02) : 233 - 252
  • [25] High frequency railway vehicle-track dynamics through flexible rotating wheelsets
    Baeza, L.
    Fayos, J.
    Roda, A.
    Insa, R.
    VEHICLE SYSTEM DYNAMICS, 2008, 46 (07) : 647 - 659
  • [26] Vehicle-track dynamics in the mid-frequency range
    Popp, K
    Kruse, H
    Kaiser, I
    VEHICLE SYSTEM DYNAMICS, 1999, 31 (5-6) : 423 - 464
  • [27] Vibration energy transmission characteristics of vehicle-track coupled system considering dynamic viscoelasticity of vibration-damping pads
    Cui, Weitao
    Gao, Liang
    Xiao, Hong
    Ma, Chaozhi
    Niu, Zhenyu
    Zhao, Shuxin
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2025, 195
  • [28] Development of vehicle-track coupled dynamics theory and engineering practice
    Zhai, Wanming
    CHINESE SCIENCE BULLETIN-CHINESE, 2022, 67 (32): : 3793 - 3807
  • [29] Vertical random vibration analysis of vehicle-track coupled system using Green's function method
    Sun, Wenjing
    Zhou, Jinsong
    Thompson, David
    Gong, Dao
    VEHICLE SYSTEM DYNAMICS, 2014, 52 (03) : 362 - 389
  • [30] Vehicle-track random vibrations considering spatial frequency coherence of track irregularitives
    Xu, Lei
    Zhao, Yongsheng
    Zhu, Zixu
    Li, Zheng
    Liu, Hubing
    Yu, Zhiwu
    VEHICLE SYSTEM DYNAMICS, 2022, 60 (11) : 3977 - 3998