A hierarchical control approach for virtual coupling in metro trains

被引:5
|
作者
Liu, Hongjie [1 ,2 ,3 ]
Luo, Xiaolin [1 ]
Tang, Tao [1 ]
Zhang, Yang [4 ]
Chai, Ming [2 ,3 ,5 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Adv Rail Autonomous Operat, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[3] Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contro, Beijing, Peoples R China
[4] Traff Control Technol Co Ltd, Beijing, Peoples R China
[5] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
MODEL-PREDICTIVE CONTROL; EFFICIENT; ALGORITHM; STRATEGY;
D O I
10.1111/mice.13138
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As an emerging technology, virtual coupling improves the efficiency and flexibility of metro services by forming multiple trains (units) as a virtually coupled train set (VCTS) without mechanical couplers. However, to realize the desired VCTS operation in practical metro services, a significant gap to be filled is that the implicit and nonlinear safety constraints are hard to be addressed in real-time control. Thus, this paper proposes a hierarchical control approach with a two-layer framework. In the upper layer, a trajectory planning method is designed, which addresses the safety constraints and prescribes a reference trajectory for each unit. In the lower layer, a model predictive control approach is constructed, by which each unit accurately tracks its reference trajectory in real time. Afterward, the proposed hierarchical control approach is employed to realize VCTS inter-station operation in field tests. The average tracking error of speed is around 8 cm/s and the stopping error is less than 12 cm. The following distance between two units in VCTS is reduced to less than 105 m at the speed of 80 km/h, which is a breakthrough in the development of VCTS.
引用
收藏
页码:1318 / 1336
页数:19
相关论文
共 50 条
  • [1] A Coordinated Collision Mitigation Approach for Virtual Coupling Trains by Using Model Predictive Control
    Chen, Mingliang
    Xun, Jing
    Liu, Yafei
    2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [2] An Integrated Train Scheduling Optimization Approach for Virtual Coupling Trains
    Chen, Chen
    Zhu, Li
    Wang, Xi
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 2182 - 2186
  • [3] Cooperative Multi-Scenario Departure Control for Virtual Coupling Trains: A Fixed-Time Approach
    Zhang, Zixuan
    Song, Haifeng
    Wang, Hongwei
    Wang, Xiaoyong
    Dong, Hairong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 8545 - 8555
  • [4] Distributed Cooperative Tracking Control Strategy for Virtual Coupling Trains: An Event-Triggered Model Predictive Control Approach
    Li, Zhongqi
    Zhong, Lingyu
    Yang, Hui
    Zhou, Liang
    PROCESSES, 2023, 11 (12)
  • [5] A cooperative collision-avoidance control methodology for virtual coupling trains
    Su, Shuai
    Liu, Wentao
    Zhu, Qingyang
    Li, Ruoqing
    Tang, Tao
    Lv, Jidong
    Accident Analysis and Prevention, 2022, 173
  • [6] Formation Control for Virtual Coupling Trains With Parametric Uncertainty and Unknown Disturbances
    Wang, Xi
    Hu, Mingyao
    Wang, Hongwei
    Dong, Hairong
    Ying, Zhipeng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (09) : 3429 - 3433
  • [7] A cooperative collision-avoidance control methodology for virtual coupling trains
    Su, Shuai
    Liu, Wentao
    Zhu, Qingyang
    Li, Ruoqing
    Tang, Tao
    Lv, Jidong
    ACCIDENT ANALYSIS AND PREVENTION, 2022, 173
  • [8] A virtual prototype for performance analysis of electropneumatic brake on metro trains
    Zuo, Jianyong
    Ding, Jingxian
    Liu, Cheng
    Luo, Zhuojun
    ADVANCES IN MECHANICAL ENGINEERING, 2020, 12 (06)
  • [9] Novel Approach for Virtual Coupling of Trains Using Different Modulation and Coding Schemes
    Lichtblau, Johann
    Scheiner, Benedict
    Michler, Fabian
    Graebner, Martin
    Sanftl, Benedikt
    Weigel, Robert
    Koelpin, Alexander
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT RAIL TRANSPORTATION (ICIRT), 2018,
  • [10] Optimal convoy composition for virtual coupling trains at junctions: A coalition formation game approach
    Ning, Zheng
    Ou, Dongxiu
    Xie, Chi
    Zhang, Lei
    Gao, Bowen
    He, Jifeng
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 154