A uniform semiglobal exponential stable adaptive line-of-sight (ALOS) guidance law for 3-D path following

被引:11
|
作者
Fossen, Thor I. [1 ]
Aguiar, Pedro [2 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Engn Cybernet, Trondheim, Norway
[2] Univ Porto, Fac Engn, Dept Elect & Comp Engn, Porto, Portugal
关键词
Guidance systems; Kinematics; Aircraft; Autonomous vehicles; Marine systems; MARINE SURFACE VESSELS; PERFORMANCE; ALGORITHMS; STABILITY; TRACKING;
D O I
10.1016/j.automatica.2024.111556
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a 3-D adaptive line-of-sight (ALOS) path-following algorithm for autonomous vehicles, marine craft, and aircraft. The origins of the cross- and vertical-track errors are proven to be uniform semiglobal exponential stable (USGES). The stability proof is based on a kinematic amplitudephase representation of the North-East-Down (NED) positional rates instead of the classical Euler angle rotation matrix representation. Parameter adaption is used to obtain integral action such that the vehicle converges to the path in the presence of winds, waves, and ocean currents. Typical applications are guidance and path-following control systems for autonomous vehicles, marine craft, and aircraft, where the horizontal- and vertical-plane motions are strongly coupled. (c) 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Predictive path following based on adaptive line-of-sight for underactuated autonomous surface vessels
    Liu, Chenguang
    Negenborn, Rudy R.
    Chu, Xiumin
    Zheng, Huarong
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2018, 23 (03) : 483 - 494
  • [32] Predictive path following based on adaptive line-of-sight for underactuated autonomous surface vessels
    Chenguang Liu
    Rudy R. Negenborn
    Xiumin Chu
    Huarong Zheng
    Journal of Marine Science and Technology, 2018, 23 : 483 - 494
  • [33] ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation
    Liu, Lu
    Wang, Dan
    Peng, Zhouhua
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2017, 42 (02) : 477 - 487
  • [34] Three-Dimensional Path Following Control of Underactuated AUV Based on Nonlinear Disturbance Observer and Adaptive Line-of-Sight Guidance
    He, Long
    Zhang, Ya
    Fan, Gang
    Liu, Yang
    Wang, Xue
    Yuan, Zehui
    IEEE ACCESS, 2024, 12 : 83911 - 83924
  • [35] Adaptive Fixed-Time Cooperative Intercept Guidance Law with Line-Of-Sight Angle Constraint
    Zhang, Mingjie
    Ma, Jianjun
    2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2019, : 1992 - 1998
  • [36] Heuristic Strategy-Empowered Real-Time Path Following for Autonomous Surface Vessel With Adaptive Line-of-Sight Guidance
    Wu, Huafeng
    Zhang, Kun
    Mei, Xiaojun
    Liang, Linian
    Zhang, Zhiheng
    Wang, Feng
    Han, Bing
    Han, Dezhi
    Li, Kuan-Ching
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2025, 50 (01) : 307 - 323
  • [37] Adaptive line-of-sight guidance law for synchronized path-following of under-actuated unmanned surface vehicles based on low-frequency learning
    Gu, Nan
    Wang, Dan
    Liu, Lu
    Zhang, Bin
    Peng, Zhouhua
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 6632 - 6637
  • [38] Line-of-Sight Probability for Channel Modeling in 3-D Indoor Environments
    Yang, Wenfei
    Zhang, Jiliang
    Glazunov, Andres Alayon
    Zhang, Jie
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2020, 19 (07): : 1182 - 1186
  • [39] A Ship Path Tracking Control Method Using a Fuzzy Control Integrated Line-of-Sight Guidance Law
    Han, Bing
    Duan, Zaiyu
    Peng, Zhouhua
    Chen, Yuhang
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (04)
  • [40] Prescribed performance actuator-tolerance control for path following of unmanned surface vessels via the triggered adaptive line-of-sight guidance
    Liu, Xiaocheng
    Zhang, Weidong
    COMPUTERS & ELECTRICAL ENGINEERING, 2024, 120