Regional path moving horizon tracking controller design for autonomous ground vehicles

被引:0
|
作者
Hongyan Guo
Feng Liu
Ru Yu
Zhenping Sun
Hong Chen
机构
[1] Jilin University (Campus Nanling),State Key Laboratory of Automotive Simulation and Control
[2] Jilin University (Campus Nanling),College of Communication Engineering
[3] National University of Defense Technology,School of Mechatronic Engineering and Automation
来源
关键词
autonomous ground vehicles; regional path tracking; model predictive control; road boundaries; experimental validation;
D O I
暂无
中图分类号
学科分类号
摘要
A novel regional path tracking description is presented in this manuscript, and the moving horizon control method that is model predictive control (MPC) is proposed to discuss the regional path tracking issue which could avoid colliding road boundary when tracking a more complex road effectively. The feasible region for autonomous ground vehicles (AGVs) running is determined first according to the detected road boundaries. Then, in order to keep the actual trajectory of AGVs in the region and satisfy the safety requirements, MPC method is employed to design the path tracking controller considering actuator and road boundary constraints. In order to verify the effectiveness of the proposed method, experiments based on Hongqi AGV HQ430 are carried out, and the results illustrate that the presented method could be successfully applied to Hongqi AGV vehicle HQ 430.
引用
收藏
相关论文
共 50 条
  • [1] Regional path moving horizon tracking controller design for autonomous ground vehicles
    Hongyan GUO
    Feng LIU
    Ru YU
    Zhenping SUN
    Hong CHEN
    [J]. Science China(Information Sciences), 2017, 60 (01) : 201 - 207
  • [2] Regional path moving horizon tracking controller design for autonomous ground vehicles
    Guo, Hongyan
    Liu, Feng
    Yu, Ru
    Sun, Zhenping
    Chen, Hong
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (01)
  • [3] MPC-Based Regional Path Tracking Controller Design for Autonomous Ground Vehicles
    Yu, Ru
    Guo, Hongyan
    Sun, Zhenping
    Chen, Hong
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 2510 - 2515
  • [4] MPC-Based Path Tracking Controller Design for Autonomous Ground Vehicles
    Shen, Chen
    Guo, Hongyan
    Liu, Feng
    Chen, Hong
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 9584 - 9589
  • [5] Design of a Path-Tracking Steering Controller for Autonomous Vehicles
    Sun, Chuanyang
    Zhang, Xin
    Xi, Lihe
    Tian, Ying
    [J]. ENERGIES, 2018, 11 (06):
  • [6] Fuzzy Controller Design for Autonomous Underwater Vehicles Path Tracking
    Duy Anh Nguyen
    Do Duy Thanh
    Nguyen Tran Tien
    Pham Viet Anh
    [J]. PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE), 2019, : 592 - 598
  • [7] Observer-Based Path Tracking Controller Design for Autonomous Ground Vehicles With Input Saturation
    Heng Wang
    Tengfei Zhang
    Xiaoyu Zhang
    Qing Li
    [J]. IEEE/CAA Journal of Automatica Sinica, 2023, 10 (03) : 749 - 761
  • [8] Observer-Based Path Tracking Controller Design for Autonomous Ground Vehicles With Input Saturation
    Wang, Heng
    Zhang, Tengfei
    Zhang, Xiaoyu
    Li, Qing
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 10 (03) : 749 - 761
  • [9] Path Planning and Path Tracking for Collision Avoidance of Autonomous Ground Vehicles
    Wang, Hengyang
    Liu, Biao
    [J]. IEEE SYSTEMS JOURNAL, 2022, 16 (03): : 3658 - 3667
  • [10] Obstacle Avoidance for Autonomous Ground Vehicles Based on Moving Horizon Optimization
    Guo, Hongyan
    Jia, Rui
    Yu, Zaitao
    Chen, Hong
    Chen, Zhigang
    [J]. 2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 1985 - 1991