ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation

被引:238
|
作者
Liu, Lu [1 ]
Wang, Dan [1 ]
Peng, Zhouhua [1 ,2 ]
机构
[1] Dalian Maritime Univ, Sch Marine Engn, Dalian 116026, Peoples R China
[2] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
基金
中国博士后科学基金;
关键词
Extended state observer (ESO); guidance law; line of sight (LOS); path following; sideslip; CONTROL DESIGN;
D O I
10.1109/JOE.2016.2569218
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a novel extended state observer (ESO)-based line-of-sight guidance law for path following of underactuated marine surface vehicles in the presence of time-varying sideslip angle. A reduced-order ESO is employed to identify the vehicle sideslip angle caused by constant ocean disturbances when following a curved path or time-varying ocean disturbances. This guarantees that the sideslip angle can be timely and exactly estimated, and thus contributes to following the desired path with higher accuracy regardless of external disturbances induced by wind, waves, and ocean currents. The input-to-state stability of the closed-loop system is established via cascade theory. It is proven that the transient learning process can be shorten by increasing the bandwidth of the ESO. Both simulation and experimental results are provided to validate the effectiveness of the method.
引用
收藏
页码:477 / 487
页数:11
相关论文
共 50 条
  • [11] Extended state observer-based integral line-of-sight guidance law for path following of underactuated unmanned surface vehicles with uncertainties and ocean currents
    Li, Mingcong
    Guo, Chen
    Yu, Haomiao
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 18 (03):
  • [12] Path following of underactuated USV based on modified integral line-of-sight guidance strategies
    Chen X.
    Liu Z.
    Zhang J.
    Dong J.
    Zhou D.
    Liu, Zhong (liuzh531@163.com), 2018, Beijing University of Aeronautics and Astronautics (BUAA) (44): : 489 - 499
  • [13] PATH FOLLOWING CONTROL OF THE UNDERACTUATED USV BASED ON THE IMPROVED LINE-OF-SIGHT GUIDANCE ALGORITHM
    Liu, Tao
    Dong, Zaopeng
    Du, Hongwang
    Song, Lifei
    Mao, Yunsheng
    POLISH MARITIME RESEARCH, 2017, 24 (01) : 3 - 11
  • [14] Path following of underactuated marine surface vessels using line-of-sight based model predictive control
    Oh, So-Ryeok
    Sun, Jing
    OCEAN ENGINEERING, 2010, 37 (2-3) : 289 - 295
  • [15] An Adaptive Line-of-Sight (ALOS) Guidance Law for Path Following of Aircraft and Marine Craft
    Fossen, Thor I.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2023, 31 (06) : 2887 - 2894
  • [16] Finite-time line-of-sight guidance law path following control for underactuated intelligent ships
    Feng H.
    Hu S.
    Yu W.
    Xu H.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (03): : 394 - 400
  • [17] Line-of-Sight Path Following for Dubins Paths With Adaptive Sideslip Compensation of Drift Forces
    Fossen, Thor I.
    Pettersen, Kristin Y.
    Galeazzi, Roberto
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (02) : 820 - 827
  • [18] Integral Line-of-Sight Guidance and Control of Underactuated Marine Vehicles: Theory, Simulations, and Experiments
    Caharija, Walter
    Pettersen, Kristin Y.
    Bibuli, Marco
    Calado, Pedro
    Zereik, Enrica
    Braga, Jose
    Gravdahl, Jan Tommy
    Sorensen, Asgeir J.
    Milovanovic, Milan
    Bruzzone, Gabriele
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2016, 24 (05) : 1623 - 1642
  • [19] High-Gain Observer-Based Line-of-Sight Guidance for Adaptive Neural Path Following Control of Underactuated Marine Surface Vessels
    Wang, Yuanhui
    Tong, Haiyan
    Wang, Chenglong
    IEEE ACCESS, 2019, 7 : 26088 - 26101
  • [20] 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