Constraint-force driven control design for rail vehicle virtual coupling

被引:9
作者
Wang, Bin [1 ]
Yang, Dengke [2 ]
Zhang, Xinrong [2 ]
Jia, Xingheng [3 ]
机构
[1] CRCC Yongji Elect Co Ltd, Yongji, Peoples R China
[2] Changan Univ, Key Lab Rd Construct Technol & Equipment MOE, South Erhuan Rd, Xian 710064, Shaanxi, Peoples R China
[3] Tsinghua Univ, Sch Vehicle & Mobil, Beijing, Peoples R China
关键词
Constraints; constraint-force control; rail vehicle; Udwadia-Kalaba approach; virtual coupling; LONGITUDINAL TRAIN DYNAMICS; SIMULATION; MODEL;
D O I
10.1177/10775463211007986
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This study investigates the constraint-force driven control problem of virtual coupling. To solve the constraint force, the explicit equation of vehicle motion with equality constraints is established using the Udwadia-Kalaba approach. First of all, this study introduces a brief overview of virtual coupling concepts in the European Railway Traffic Management System and some scenes of virtual coupling. The control method is proposed to enable the mechanical system to follow the designed constraint. Moreover, the dynamic model for virtual coupling problem is established. Second, combined with the dynamic model, the equation constraint is designed to make the rail vehicle movenment reach the control objective. By solving the equation based on the Udwadia-Kalaba approach, the control inputs that can render the vehicle to move along the desired trajectory. Third, numerical simulation results demonstrate the effectiveness of the proposed method in virtual coupling problem.
引用
收藏
页码:551 / 563
页数:13
相关论文
共 31 条
  • [1] Estimation of running resistance of electric trains based on on-board telematics system
    Aradi, Szilard
    Becsi, Tamas
    Gaspar, Peter
    [J]. INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2015, 22 (03) : 277 - 291
  • [2] Adaptive robust approximate constraint-following control for mechanical systems
    Chen, Ye-Hwa
    Zhang, Xinrong
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2010, 347 (01): : 69 - 86
  • [3] ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis
    Di Meo, Carlo
    Di Vaio, Marco
    Flammini, Francesco
    Nardone, Roberto
    Santini, Stefania
    Vittorini, Valeria
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (06) : 2545 - 2556
  • [4] Automatic Train Control System Development and Simulation for High-Speed Railways
    Dong, Hairong
    Ning, Bin
    Cai, Baigen
    Hou, Zhongsheng
    [J]. IEEE CIRCUITS AND SYSTEMS MAGAZINE, 2010, 10 (02) : 6 - 18
  • [5] A Model Predictive Control Approach for Virtual Coupling in Railways
    Felez, Jesus
    Kim, Yeojun
    Borrelli, Francesco
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (07) : 2728 - 2739
  • [6] Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways
    Fraga-Lamas, Paula
    Fernandez-Carames, Tiago M.
    Castedo, Luis
    [J]. SENSORS, 2017, 17 (06)
  • [7] Furness N., 2009, IRSE NEWS, V232, P2
  • [8] Goikoetxea Javier, 2016, Communication Technologies for Vehicles. 10th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2016. Proceedings: LNCS 9669, P3, DOI 10.1007/978-3-319-38921-9_1
  • [9] An analysis and design method for linear systems subject to actuator saturation and disturbance
    Hu, TS
    Lin, ZL
    Chen, BM
    [J]. AUTOMATICA, 2002, 38 (02) : 351 - 359
  • [10] Udwadia-Kalaba Approach for Parallel Manipulator Dynamics
    Huang, Jin
    Chen, Y. H.
    Zhong, Zhihua
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2013, 135 (06):