Longitudinal and lateral control methods from single vehicle to autonomous platoon

被引:14
作者
Song, Lei [1 ]
Li, Jun [1 ]
Wei, Zichun [2 ]
Yang, Kai [3 ]
Hashemi, Ehsan [4 ]
Wang, Hong [1 ]
机构
[1] Tsinghua Univ, Sch Vehicle & Mobil, Beijing 10081, Peoples R China
[2] Hong Kong Polytech Univ, Dept Industrialized Syst Engn, Hong Kong, Peoples R China
[3] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400000, Peoples R China
[4] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 1H9, Canada
来源
GREEN ENERGY AND INTELLIGENT TRANSPORTATION | 2023年 / 2卷 / 02期
基金
中国国家自然科学基金;
关键词
Longitudinal and lateral control; Model predictive control; Autonomous platooning; H-in finity; Motion control framework; SYSTEMS;
D O I
10.1016/j.geits.2023.100066
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
To successfully implement the platoon control of connected and automated vehicles, it is necessary to address motion control issues to achieve longitudinal and lateral collaborative control. However, due to traffic capacity limitations and the complex traffic environment in which autonomous and human-driven vehicles coexist, autonomous platoon faces significant risks and challenges. This paper investigates longitudinal and lateral control issues from the perspective of a single vehicle up to a platoon, simulating the performance and suitability of various controllers. First, a longitudinal controller based on fuzzy logic and PID control is employed for speed tracking control of a single vehicle, followed by the adoption of an MPC controller based on the vehicle kinematics model to realize the lateral motion of a single vehicle. Second, the communication methods of the autonomous platoon are discussed, and the longitudinal controller that considers the platoon's various communication topologies is developed. Thirdly, a framework for robust integrated motion control is established, which combines the robust H-infinity longitudinal controller and the APF-based MPC lateral controller. Simulation results validate the effectiveness of the aforementioned controllers and reveal their limitations.
引用
收藏
页数:16
相关论文
共 29 条
  • [21] The Driving Safety Field Based on Driver-Vehicle-Road Interactions
    Wang, Jianqiang
    Wu, Jian
    Li, Yang
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) : 2203 - 2214
  • [22] Information dissemination in self-organizing intervehicle networks
    Wischhof, L
    Ebner, A
    Rohling, H
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2005, 6 (01) : 90 - 101
  • [23] Comparative Study of Trajectory Tracking Control for Automated Vehicles via Model Predictive Control and Robust H-infinity State Feedback Control
    Yang, Kai
    Tang, Xiaolin
    Qin, Yechen
    Huang, Yanjun
    Wang, Hong
    Pu, Huayan
    [J]. CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2021, 34 (01)
  • [24] FUZZY SETS
    ZADEH, LA
    [J]. INFORMATION AND CONTROL, 1965, 8 (03): : 338 - &
  • [25] Data-Driven Intelligent Transportation Systems: A Survey
    Zhang, Junping
    Wang, Fei-Yue
    Wang, Kunfeng
    Lin, Wei-Hua
    Xu, Xin
    Chen, Cheng
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12 (04) : 1624 - 1639
  • [26] Fuel Economy in Truck Platooning: A Literature Overview and Directions for Future Research
    Zhang, Linlin
    Chen, Feng
    Ma, Xiaoxiang
    Pan, Xiaodong
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
  • [27] [赵熙俊 Zhao Xijun], 2011, [汽车工程, Automotive Engineering], V33, P382
  • [28] Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies
    Zheng, Yang
    Li, Shengbo Eben
    Wang, Jianqiang
    Cao, Dongpu
    Li, Keqiang
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (01) : 14 - 26
  • [29] A model predictive speed tracking control approach for autonomous ground vehicles
    Zhu, Min
    Chen, Huiyan
    Xiong, Guangming
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 87 : 138 - 152