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On-line Access: 2023-07-20

Received: 2022-03-13

Revision Accepted: 2022-07-11

Crosschecked: 2023-07-20

Cited: 0

Clicked: 1038

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yuan YAO

https://orcid.org/0000-0003-2279-7463

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Journal of Zhejiang University SCIENCE A 2023 Vol.24 No.7 P.625-636

http://doi.org/10.1631/jzus.A2200127


Bogie active stability simulation and scale rig test based on frame lateral vibration control


Author(s):  Yadong SONG, Hu LI, Jun CHENG, Yuan YAO

Affiliation(s):  State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

Corresponding email(s):   yyuan8848@163.com

Key Words:  Railway vehicle, Bogie, Active stability, Scale test rig, Time-delay


Yadong SONG, Hu LI, Jun CHENG, Yuan YAO. Bogie active stability simulation and scale rig test based on frame lateral vibration control[J]. Journal of Zhejiang University Science A, 2023, 24(7): 625-636.

@article{title="Bogie active stability simulation and scale rig test based on frame lateral vibration control",
author="Yadong SONG, Hu LI, Jun CHENG, Yuan YAO",
journal="Journal of Zhejiang University Science A",
volume="24",
number="7",
pages="625-636",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2200127"
}

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%T Bogie active stability simulation and scale rig test based on frame lateral vibration control
%A Yadong SONG
%A Hu LI
%A Jun CHENG
%A Yuan YAO
%J Journal of Zhejiang University SCIENCE A
%V 24
%N 7
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%@ 1673-565X
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2200127

TY - JOUR
T1 - Bogie active stability simulation and scale rig test based on frame lateral vibration control
A1 - Yadong SONG
A1 - Hu LI
A1 - Jun CHENG
A1 - Yuan YAO
J0 - Journal of Zhejiang University Science A
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SP - 625
EP - 636
%@ 1673-565X
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A2200127


Abstract: 
This paper puts forward a high-speed train bogie active stability method, based on frame lateral vibration control, for improving the stability and critical speed of railway vehicles at high speeds. Two inertial actuators apply active control forces to the front and rear end beams of the bogie frame. A scale model of bogie lateral dynamics is established, as well as the state space equation of the control system. Also, the multi-objective optimization is used to construct state feedback parameters, which take hunting stability and control effort into account. Furthermore, the effects of time-delay in the control system and suspension parameters on bogie hunting stability are studied. The dynamic behaviors and the stability mechanism of the bogie control system are analyzed. Finally, a 1:5 scale test rig is used to conduct a bogie active stability experiment. The results reveal that active control of frame lateral vibration can effectively improve the bogie system’s hunting stability margin at high speeds, but time-delay in the control system cannot be ignored.

基于构架横向振动的转向架主动稳定性仿真与滚动比例试验台实验研究

作者:宋亚东,李虎,程俊,姚远
机构:西南交通大学,牵引动力国家重点实验室,中国成都,610031
目的:本文提出了一种基于构架横向振动控制的高速列车转向架主动稳定性方法,来提高铁路车辆高速运行时的稳定性和临界速度。
创新点:1.通过转向架横向动力学模型,根据构架振动反馈控制策略,建立了转向架动力学主动控制系统,利用两个惯性做动器直接向构架的前后端梁施加主动控制力;2.搭建了转向架1:5比例滚动试验台,对仿真结果进行实验验证。
方法:1.仿真模拟,建立了转向架横向动力学主动控制系统的状态空间方程,对不同控制参数和时滞下系统稳定性进行仿真分析;2.理论分析,研究了控制时滞和悬挂参数对转向架稳定性的影响机理;3.实验分析,通过转向架1:5比例的滚动试验台进行主动稳定性试验验证。
结论:1.本文提出的构架横向振动主动控制可以有效地提高转向架系统在高速下的蛇行稳定裕度,其中构架速度反馈比位移反馈对稳定性的影响更大;2.控制系统中的时滞对稳定性影响机理不同,较小的延迟(5 ms左右)会导致构架振动的高频模态失稳,而较大的延迟(30 ms以上)会导致转向架低频的蛇行模态失稳;3.考虑主动悬挂系统时滞,原有的被动悬挂参数对转向架稳定性的影响也会发生改变(图5)。

关键词:铁路车辆;转向架;主动稳定性;比例试验台;时滞分析

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AlfiS, BruniS, DianaG, et al., 2011. Active control of airspring secondary suspension to improve ride quality and safety against crosswinds. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 225(1):84-98.

[2]BeyerHG, DebK, 2001. On self-adaptive features in real-parameter evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 5(3):250-270.

[3]BraghinF, BruniS, RestaF, 2006. Active yaw damper for the improvement of railway vehicle stability and curving performances: simulations and experimental results. Vehicle System Dynamics, 44(11):857-869.

[4]BruniS, GoodallR, MeiTX, et al., 2007. Control and monitoring for railway vehicle dynamics. Vehicle System Dynamics, 45(7-8):743-779.

[5]DebK, PratapA, AgarwalS, et al., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197.

[6]FuB, GiossiRL, PerssonR, et al., 2020. Active suspension in railway vehicles: a literature survey. Railway Engineering Science, 28(1):3-35.

[7]GaoHJ, SunWC, ShiP, 2010. Robust sample-data H control for vehicle active suspension systems. IEEE Transactions on Control Systems Technology, 18(1):238-245.

[8]GoodallR, 1997. Active railway suspensions: implementation status and technological trends. Vehicle System Dynamics, 28(2-3):87-117.

[9]HouY, SongYD, WuGS, et al., 2019. Simulation and experimental study on the active stability of high-speed trains. Computing in Science & Engineering, 21(3):72-82.

[10]JinXS, 2014. Key problems faced in high-speed train operation. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 15(12):936-945.

[11]KimHC, ShinYJ, YouW, et al., 2017. A ride quality evaluation of a semi-active railway vehicle suspension system with MR damper: railway field tests. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 231(3):306-316.

[12]LiG, YaoY, ShenLJ, et al., 2023. The influence of yaw damper layouts on locomotive lateral dynamics performance: Pareto optimization and parameter analysis. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 24(5):450-464.

[13]LiHY, LiuHH, GaoHJ, et al., 2012. Reliable fuzzy control for active suspension systems with actuator delay and fault. IEEE Transactions on Fuzzy Systems, 20(2):342-357.

[14]Mousavi BidelehSM, MeiTX, BerbyukV, 2016. Robust control and actuator dynamics compensation for railway vehicles. Vehicle System Dynamics, 54(12):1762-1784.

[15]ParkJ, ShinY, HurH, et al., 2019. A practical approach to active lateral suspension for railway vehicles. Measurement and Control, 52(9-10):1195-1209.

[16]PearsonJT, GoodallRM, MeiTX, et al., 2004. Active stability control strategies for a high speed bogie. Control Engineering Practice, 12(11):1381-1391.

[17]PérezJ, BusturiaJM, GoodallRM, 2002. Control strategies for active steering of bogie-based railway vehicles. Control Engineering Practice, 10(9):1005-1012.

[18]QazizadehA, PerssonR, StichelS, 2015. On-track tests of active vertical suspension on a passenger train. Vehicle System Dynamics, 53(6):798-811.

[19]QazizadehA, StichelS, PerssonR, 2018. Proposal for systematic studies of active suspension failures in rail vehicles. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 232(1):199-213.

[20]ShinD, LeeG, YiK, et al., 2016. Motorized vehicle active suspension damper control with dynamic friction and actuator delay compensation for a better ride quality. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 230(8):1074-1089.

[21]ShresthaS, SpiryaginM, WuQ, 2020. Real-time multibody modeling and simulation of a scaled bogie test rig. Railway Engineering Science, 28(2):146-159.

[22]SrinivasN, DebK, 1994. Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation, 2(3):221-248.

[23]SunJQ, 2009. A method of continuous time approximation of delayed dynamical systems. Communications in Nonlinear Science and Numerical Simulation, 14(4):998-1007.

[24]SunWC, ZhaoY, LiJF, et al., 2012. Active suspension control with frequency band constraints and actuator input delay. IEEE Transactions on Industrial Electronics, 59(1):530-537.

[25]SunYG, LiFX, LinGB, et al., 2023. Adaptive fault-tolerant control of high-speed maglev train suspension system with partial actuator failure: design and experiments. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 24(3):272-283.

[26]TanifujiK, KoizumiS, ShimamuneRH, 2002. Mechatronics in Japanese rail vehicles: active and semi-active suspensions. Control Engineering Practice, 10(9):999-1004.

[27]YaoY, ZhangXX, LiuX, 2016. The active control of the lateral movement of a motor suspended under a high-speed locomotive. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230(6):1509-1520.

[28]YaoY, WuGS, SardahiY, et al., 2018. Hunting stability analysis of high-speed train bogie under the frame lateral vibration active control. Vehicle System Dynamics, 56(2):297-318.

[29]YaoY, LiG, SardahiY, et al., 2019. Stability enhancement of a high-speed train bogie using active mass inertial actuators. Vehicle System Dynamics, 57(3):389-407.

[30]ZengYC, ZhangWH, SongDL, 2020. Lateral-vertical coupled active suspension on railway vehicle and optimal control methods. Vehicle System Dynamics, 60(1):258-280.

[31]ZhouRH, ZolotasA, GoodallR, 2011. Integrated tilt with active lateral secondary suspension control for high speed railway vehicles. Mechatronics, 21(6):1108-1122.

[32]ZhouRH, ZolotasA, GoodallR, 2014. Robust system state estimation for active suspension control in high-speed tilting trains. Vehicle System Dynamics, 52(Sup1):‍355-369.

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