Research on multi-vehicle formation control based on improved artificial potential field method

被引:0
|
作者
Zhang, Hao [1 ]
Wei, Chao [1 ]
He, Yuanhao [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China
关键词
Artificial potential field method; formation coordination; four-circle model; sliding mode control; formation control; DISTRIBUTED MPC; SYSTEMS;
D O I
10.1177/09544070241265392
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Multi-vehicle formation can perform various special tasks in unstructured environment. How to take into account the safety of vehicles in avoiding obstacles and the ability to maintain formation has a certain research value. In this paper, the four-circle model of vehicle is established first, and the circle radius is adjusted according to the state of vehicle, so as to describe the safety boundary of vehicle. The improved RRT algorithm is used for the whole route planning, and the discrete path points are used as vehicle guidance. Then the artificial potential field is constructed, and the formation coordination potential field is proposed, so that the vehicles can cooperate with other vehicles to keep the preset formation as far as possible when avoiding obstacles. Then the control quantity of the vehicle is calculated according to the force condition of the vehicle in the potential field by the double exponential sliding mode control method. Finally, the effectiveness of the method is verified by the simulation experiments of triangle formation and circular formation under different working conditions, and the formation error is reduced by about 20%.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Optimization of multi-vehicle obstacle avoidance based on improved artificial potential field method with PID control
    Yan, Weigang
    Wu, Xi
    Liang, Guanghong
    FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [2] Unmanned aerial vehicle formation control method based on improved artificial potential field and consensus
    Wang, Yunming
    Zhong, Yilin
    Zhang, Yuhang
    Shi, Yanhong
    Chen, Hongrui
    IET CONTROL THEORY AND APPLICATIONS, 2024, 18 (18): : 2555 - 2567
  • [3] A WIP Vehicle Control Method Based on Improved Artificial Potential Field Subject to Multi-Obstacle Environment
    Ning, Yigao
    Yue, Ming
    Guo, Lie
    Zhao, Jian
    INFORMATION TECHNOLOGY AND CONTROL, 2020, 49 (03): : 320 - 334
  • [4] Multi-Robot Formation Control Based on the Artificial Potential Field Method
    Gao Xina
    Wu Lijuan
    COMPUTER AND INFORMATION TECHNOLOGY, 2014, 519-520 : 1360 - 1363
  • [5] Distributed Formation Fault Tolerance Control Based on Improved Artificial Potential Field Method
    Yang, Wenhui
    Ye, Xiufen
    2024 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2024, 2024, : 1628 - 1633
  • [6] UAV formation collision avoidance control method based on improved artificial potential field
    Zhu X.
    Yan M.
    Zhang C.
    Lin H.
    Qu Y.
    Zhu, Xu (zhuxu_1987@sina.com), 1600, Editorial Board of Journal of Harbin Engineering (38): : 961 - 968
  • [7] Cooperative control of multi-vehicle formation based on cooperative game
    Sun, Hui
    Yang, Renming
    JOURNAL OF VIBRATION AND CONTROL, 2024,
  • [8] Consensus based formation control strategies for multi-vehicle systems
    Ren, Wei
    2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2006, 1-12 : 4237 - 4242
  • [9] New multi-UAV formation keeping method based on improved artificial potential field
    Hanlin SHENG
    Jie ZHANG
    Zongyuan YAN
    Bingxiong YIN
    Shengyi LIU
    Tingting Bai
    Daobo WANG
    Chinese Journal of Aeronautics , 2023, (11) : 249 - 270
  • [10] New multi-UAV formation keeping method based on improved artificial potential field
    Hanlin SHENG
    Jie ZHANG
    Zongyuan YAN
    Bingxiong YIN
    Shengyi LIU
    Tingting Bai
    Daobo WANG
    Chinese Journal of Aeronautics, 2023, 36 (11) : 249 - 270