A Virtual Force Guidance Law for Trajectory Tracking and Path Following

被引:1
|
作者
Wang, Xun [1 ,2 ]
Zhang, Jianwei [2 ]
Zhang, Daibing [1 ]
Shen, Lincheng [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron & Automat, Changsha 410073, Hunan, Peoples R China
[2] Univ Hamburg, Grp TAMS, Dept Informat, D-22527 Hamburg, Germany
来源
关键词
Trajectory tracking; Path following; Obstacle avoidance; Artificial physics; Virtual force;
D O I
10.1007/978-3-319-48036-7_30
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a virtual force guidance law for trajectory tracking of autonomous vehicles. Normally, three virtual forces are designed to govern the vehicles. The virtual centripetal force counteracts the influence of the reference heading rate. The virtual spring force pulls the vehicle to the reference trajectory and the virtual drag force prevents oscillations. When local obstacles are detected, an extra virtual repulsive force is designed to push the vehicle away from its way to get around the obstacles. Using the guidance law, the reference trajectory can be straight line, circle and general curve with time-varying curvature. The guidance law is directly applicable to path-following problem by redefining the reference point. The use of artificial physics makes the guidance law be founded on solid physical theory and computationally simple. Besides, the physical meanings of the parameters are definite, which makes it easy to tune in application. Simulation results demonstrate the effectiveness of the proposed guidance law for problems of trajectory tracking, path following, and obstacle avoidance.
引用
收藏
页码:417 / 432
页数:16
相关论文
共 50 条
  • [31] Path following method for a snake robot based on virtual edge guidance strategy
    Zhang, Danfeng
    Li, Jinna
    Tao, Wenhua
    2022 IEEE 17TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION, ICCA, 2022, : 778 - 783
  • [32] PATH FOLLOWING AND FLIGHT CHARACTERISTICS EVALUATION OF TRAJECTORY TRACKING ALGORITHMS IN UAV NAVIGATION
    Murali, Shreeram
    Lokesha, K.
    George, Raji
    MECHATRONIC SYSTEMS AND CONTROL, 2022, 50 (01): : 22 - 27
  • [33] Application of Virtual Target based Guidance Laws to Path Following of a Quadrotor UAV
    Manjunath, Abhishek
    Mehrok, Parwinder
    Sharma, Rajnikant
    Ratnoo, Ashwini
    2016 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2016, : 252 - 260
  • [34] Robust Adaptive Path Following Control for Autonomous Underwater Vehicles with Virtual Guidance
    Wang Hong-jian
    Chen Zi-yin
    Bian Xin-qian
    Jia He-ming
    Xu Guo-zhuo
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4283 - 4288
  • [35] An Innovative Approach to Nonlinear Guidance Law for Path Following of Unmanned Surface Vehicle
    Unal, Osman
    Akkas, Nuri
    Atali, Gokhan
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2023, 44 (06): : 573 - 581
  • [36] Ship Path Following Control Based on Modified Line of Sight Guidance Law
    Duan, Zaiyu
    Han, Bing
    Chen, Yuhang
    Lin, Yunhe
    39TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION, YAC 2024, 2024, : 162 - 167
  • [37] Line-of-sight guidance law for path following of hovercrafts with sideslip compensation
    Wang Y.
    Tong H.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2021, 42 (06): : 851 - 858
  • [38] Smart carrot chasing guidance law for path following of unmanned surface vehicles
    Unal, Osman
    Akkas, Nuri
    Atali, Gokhan
    Ozkan, Sinan Serdar
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT, 2024, 238 (03) : 567 - 576
  • [39] Path following and obstacle avoidance control of AUV based on MPC guidance law
    Yao X.
    Wang X.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (06): : 1053 - 1062
  • [40] An Improved ELOS Guidance Law for Path Following of Underactuated Unmanned Surface Vehicles
    Wu, Shipeng
    Ye, Hui
    Liu, Wei
    Yang, Xiaofei
    Liu, Ziqing
    Zhang, Hao
    SENSORS, 2024, 24 (16)