Trajectory Tracking Coordinated Control for Autonomous Vehicle in High-speed Overtaking

被引:0
|
作者
Zhang Z. [1 ]
Long K. [1 ]
Du R. [1 ]
Huang C. [2 ]
机构
[1] College of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha
[2] Hunan Provincial Key Laboratory of Vehicle Power and Transmission System, Hunan Institute of Engineering, Xiangtan
来源
关键词
Autonomous vehicle; High-speed overtaking; Model predictive control; Path planning; Trajectory tracking;
D O I
10.19562/j.chinasae.qcgc.2021.07.006
中图分类号
学科分类号
摘要
In high-speed overtaking of autonomous vehicles, it is necessary not only to plan a reasonable path for vehicle safety, but also to ensure the lateral stability and ride comfort of the vehicle in high-speed turning on curve. Firstly, the longitudinal speed and the lateral overtaking path are planned respectively for the three phases of overtaking, i.e. lane change, uniform speed and lane change. Then a calculation method of desired yaw rate with consideration of path curvature, lane change time, and longitudinal speed is put forward. Finally, with minimizing lateral position error, yaw rate tracking deviation and control increment as optimization objectives, and by using the correlation function of extension set to dynamically assign the weighting factors of trajectory tracking accuracy and lateral stability, an extension set-based multi-objective model predictive coordinated control strategy for autonomous vehicle trajectory tracking is established. Numerical simulation results show that the path planning method proposed can ensure the safe overtaking of vehicle, while the trajectory tracking control strategy set up can accurately track the planned path, with better lateral stability and ride comfort. © 2021, Society of Automotive Engineers of China. All right reserved.
引用
收藏
页码:995 / 1004
页数:9
相关论文
共 22 条
  • [1] BONNEFON J F, SHARIFF A, RAHWAN I., The social dilemma of autonomous vehicles, Science, 352, 6293, pp. 1573-1576, (2016)
  • [2] ZHANG R, ZHANG Z, GUAN Z, Et al., Autonomous lane changing control for intelligent vehicles, Cluster Computing, 22, 4, pp. 8657-8667, (2019)
  • [3] CAI Y F, ZANG Y, SUN X Q, Et al., Lane-keeping system of intelligent vehicle based on extension switching control method, China Journal of Highway and Transport, 32, 6, pp. 43-53, (2019)
  • [4] DIXIT S, MONTANARO U, DIANATI M, Et al., Trajectory planning for autonomous high-speed overtaking in structured environments using robust MPC, IEEE Transactions on Intelligent Transportation Systems, 21, 6, pp. 2310-2323, (2019)
  • [5] XU L, ZHUANG W, YIN G, Et al., Robust overtaking control of autonomous electric vehicle with parameter uncertainties, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 233, 13, pp. 3358-3376, (2019)
  • [6] JI J, TANG Z R, WU M Y, Et al., Path planning and tracking for lane changing based on model predictive contrl, China Journal of Highway and Transport, 31, 4, pp. 176-183, (2018)
  • [7] HWANG C L, YANG C C, HUNG J Y., Path tracking of an automatic ground vehicle with different payloads by hierarchical improved fuzzy dynamic sliding-mode control, IEEE Transactions on Fuzzy Systems, 26, 4, pp. 899-914, (2017)
  • [8] REN D B, CUI S M, WU Z H., Preview control for lane keeping and its steady-state error analysis, Automotive Engineering, 38, 2, pp. 192-199, (2016)
  • [9] HANG P, CHEN X B, ZHANG B, Et al., Path planning and tracking control for collision avoidance of a 4WIS-4WID electric vehicle, Automotive Engineering, 41, 2, pp. 170-176, (2019)
  • [10] JI J, KHAJEPOUR A, MELEK W W, Et al., Path planning and tracking for vehicle collision avoidance based on model predictive control with multiconstraints, IEEE Transactions on Vehicular Technology, 66, 2, pp. 952-964, (2017)