Experimental investigation on vibration characteristics of the medium–low-speed maglev vehicle–turnout coupled system

Abstract

The steel turnout is one of the key components in the medium–low-speed maglev line system. However, the vehicle under active control is prone to vehicle–turnout coupled vibration, and thus, it is necessary to identify the vibration characteristics of this coupled system through field tests. To this end, dynamic performance tests were conducted on a vehicle–turnout coupled system in a medium–low-speed maglev test line. Firstly, the dynamic response data of the coupled system under various operating conditions were obtained. Then, the natural vibration characteristics of the turnout were analysed using the free attenuation method and the finite element method, indicating a good agreement between the simulation results and the measured results; the acceleration response characteristics of the coupled system were analysed in detail, and the ride quality of the vehicle was assessed by Sperling index. Finally, the frequency distribution characteristics of the coupled system were discussed. All these test results could provide references for model validation and optimized design of medium–low-speed maglev transport systems.

References

[1] Zhai W, Zhao C. Frontiers and challenges of sciences and technologies in modern railway engineering. J Southwest Jiaotong Univ 2016, 51 2 209-226(in Chinese)

[2] Cai C, He Q, Zhu S . Dynamic interaction of suspension-type monorail vehicle and bridge: Numerical simulation and experiment. Mech Syst Signal Process 2019, 118 388-407

[3] Kouroussis G, Vogiatzis KE, Connolly DP. Assessment of railway ground vibration in urban area using in-situ transfer mobilities and simulated vehicle–track interaction. Int J Rail Transp 2018, 6 2 113-130

[4] Yasuda Y, Fujino M, Tanaka M, et al (2004) The first HSST maglev commercial train in Japan. In: Proceedings of MAGLEV 2004, October 26–28, Shanghai, 1: 76–85

[5] Lim J, Jeong JH, Kim CH . Analysis and experimental evaluation of normal force of linear induction motor for maglev vehicle. IEEE Trans Magn 2017, 53 11 1-4

[6] Sun Y, Xu J, Qiang H . Adaptive neural-fuzzy robust position control scheme for maglev train systems with experimental verification. IEEE Trans Industr Electron 2019, 66 11 8589-8599

[7] Xu F, Luo S, Deng Z. Study on key technologies and whole speed range application of maglev rail transport. J China Railw Soc 2019, 41 3 40-49(in Chinese)

[8] Ma W-H, Luo S-H, Zhang M . Research review on medium and low speed maglev vehicle. J Traffic Transp Eng 2021, 21 1 199-216(in Chinese)

[9] Zhou D, Yu P, Wang L . An adaptive vibration control method to suppress the vibration of the maglev train caused by track irregularities. J Sound Vib 2017, 408 331-350

[10] Zhai W, Xia H, Cai C . High-speed train–track–bridge dynamic interactions–part I: theoretical model and numerical simulation. Int J Rail Transp 2013, 1 1–2 3-24

[11] Zhai W, Wang S, Zhang N . High-speed train–track–bridge dynamic interactions–part II: experimental validation and engineering application. Int J Rail Transp 2013, 1 1–2 25-41

[12] Zhai W, Han Z, Chen Z . Train–track–bridge dynamic interaction: a state-of-the-art review. Veh Syst Dyn 2019, 57 7 984-1027

[13] Zhai W. Vehicle–track coupled dynamics: theory and applications 2020 Singapore Springer

[14] Gou H, Liu C, Zhou W . Dynamic responses of a high-speed train passing a deformed bridge using a vehicle–track–bridge coupled model. Proc Inst Mech Eng Part F J Rail Rapid Transit 2020, 235 4 463-477

[15] Yaghoubi H, Ziari H. Development of a maglev vehicle/guideway system interaction model and comparison of the guideway structural analysis with railway bridge structures. J Transp Eng Part A Syst 2011, 137 2 140-154

[16] Han H, Yim BH, Lee NJ . Effects of the guideway's vibrational characteristics on the dynamics of a maglev vehicle. Veh Syst Dyn 2009, 47 3 309-324

[17] Kim K-J, Han J-B, Han H-S . Coupled vibration analysis of maglev vehicle–guideway while standing still or moving at low speeds. Veh Syst Dyn 2015, 53 4 587-601

[18] Lee JS, Kwon SD, Kim MY . A Parametric study on the dynamics of urban transit maglev vehicle running on flexible guideway bridges. J Sound Vib 2009, 328 3 301-317

[19] Kwon SD, Lee JS, Moon JW . Dynamic interaction analysis of urban transit maglev vehicle and guideway suspension bridge subjected to gusty wind. Eng Struct 2008, 30 12 3445-3456

[20] Wang D, Li X, Wu Z. Dynamic performance of the LMS maglev train–track–bridge system under uneven settlement for two typical bridges. Int J Struct Stab Dyn 2020, 21 1 2150006

[21] Yau JD. Response of a maglev vehicle moving on a series of guideways with differential settlement. J Sound Vib 2009, 324 3 816-831

[22] Yau JD. Wave passage effects on the seismic response of a maglev vehicle moving on multi-span guideway. Latin Am J Solids Struct 2013, 10 5 981-1000

[23] Han JB, Han HS, Kim SS . Design and validation of a slender guideway for maglev vehicle by simulation and experiment. Veh Syst Dyn 2016, 54 3 370-385

[24] Chen X, Ma W, Luo S. Study on stability and bifurcation of electromagnet–track beam coupling system for EMS maglev vehicle. Nonlinear Dyn 2020, 101 3 2181-2193

[25] Wang D, Li X, Wang Y . Dynamic interaction of the low-to-medium speed maglev train and bridges with different deflection ratios: experimental and numerical analyses. Adv Struct Eng 2020, 23 11 2399-2413

[26] Wang D, Li X, Liang L . Influence of the track structure on the vertical dynamic interaction analysis of the low-to-medium-speed maglev train–bridge system. Adv Struct Eng 2019, 22 14 2937-2950

[27] Han JB, Han HS, Lee JM . Dynamic modeling and simulation of EMS maglev vehicle to evaluate the levitation stability and operational safety over an elastic segmented switch track. J Mech Sci Technol 2018, 32 7 2987-2998

[28] Li X, Wang D, Liu D . Dynamic analysis of the interactions between a low-to-medium-speed maglev train and a bridge: field test results of two typical bridges. Proc Inst Mech Eng Part F J Rail Rapid Transit 2018, 232 7 2039-2059

[29] Li M, Luo S, Ma W . Experimental study on dynamic performance of medium and low speed maglev train–track–bridge system. Int J Rail Transp 2021, 9 3 232-255

[30] Sun Y, Qiang H, Xu J . Internet of Things-based online condition monitor and improved adaptive fuzzy control for a medium-low-speed maglev train system. IEEE Trans Industr Inf 2020, 16 4 2629-2639

[31] Chen C, Xu J, Lin G . Model identification and nonlinear adaptive control of suspension system of high-speed maglev train. Veh Syst Dyn 2020

[32] Kong E, Song J, Kang B . Dynamic response and robust control of coupled maglev vehicle and guideway system. J Sound Vib 2011, 330 25 6237-6253

[33] Li S, Zhang K. Self-excited vibration of single-magnet suspension system: stability analysis and inhibition. J Southwest Jiaotong Univ 2015, 50 3 410-416(in Chinese)

[34] Wang H-P, Li J, Zhang K. Stability and hopf bifurcation of the maglev system with delayed speed feedback control. Acta Autom Sinica 2007, 33 8 829-834

[35] Zhang L, Huang L, Zhang Z. Stability and hopf bifurcation of the maglev system with delayed position and speed feedback control. Nonlinear Dyn 2009, 57 1 197-207

[36] Liu DL. Experimental study on dynamic load test of medium and low-speed maglev switch system. Urban Mass Transit 2017, 20 5 89-92(in Chinese)

[37] Zhang Y, Zhao C, Zhou W . Natural vibration characteristics of the active turnout girder with different boundary conditions for low-medium speed maglev transit. Railw Stand Des 2020, 64 4 22-27(in Chinese)

[38] Luo HJ, Wu ZH, Tong L-S . Research on vehicle and turnout coupling vibration for mid–low speed maglev. Electr Locomot Mass Transit Veh 2018, 41 1 5-8(in Chinese)

[39] Chai X-P, Wang Z-X, Wang B . Study of TLMD vibration mitigation technique for switch beams in maglev project. World Bridg 2017, 45 2 60-65(in Chinese)

[40] Zeng G, Yuan Y, Ji W . Design and debugging of guideway switch for medium and low-speed maglev in Changsha city. Urban Mass Transit 2016, 19 5 44-48(in Chinese)

[41] Zhao C, Zhai W. Maglev vehicle/guideway vertical random response and ride quality. Veh Syst Dyn 2002, 38 3 185-210

Funding

National Natural Science Foundation of China(51875483)

Independently Funded Research Project of State Key Laboratory of Traction Power(2020TPL-T01)