Prescribed time observer based trajectory tracking control of autonomous underwater vehicle with tracking error constraints

被引:48
|
作者
Li, Jinjiang [1 ]
Xiang, Xianbo [2 ,3 ]
Dong, Donglei [2 ]
Yang, Shaolong [2 ]
机构
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong 999077, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, 1037, Luoyu Rd, Wuhan 430074, Peoples R China
[3] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
关键词
Autonomous underwater vehicle (AUV); Trajectory tracking; Prescribed time; Prescribed performance; NONLINEAR-SYSTEMS; VARYING FEEDBACK; STABILIZATION; AUVS;
D O I
10.1016/j.oceaneng.2023.114018
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper addresses the trajectory tracking control problem of the autonomous underwater vehicle with tracking error constraints and prescribed time convergence. In view of the fact that underwater vehicle is inevitably influenced by unknown external disturbances and input saturation, a disturbance observer is first proposed to achieve prescribed time disturbance attenuation. By virtue of the proposed observer, the observation error will arrive and maintain at a user-defined compact set in a prescribed time, which lays the foundation for subsequent control design. Then, an auxiliary dynamic system with time varying gain is constructed to deal with the input saturation phenomenon. Finally, a robust tracking control scheme is derived by integrating the proposed observer and auxiliary dynamic system into the prescribed performance control architecture, which results in both prescribed time convergence and transient performance constraints in the presence of input saturation and disturbances. Numerical simulation studies are carried out to illustrate the superiority and benefits of the proposed algorithm.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Prescribed-time tracking control of Mars entry vehicle with output constraints
    Jiang, Di
    Zhang, Kang-Kang
    Zhou, Bin
    AEROSPACE SCIENCE AND TECHNOLOGY, 2024, 152
  • [22] Tracking Control of An Autonomous Underwater Vehicle under Time Delay
    Gao, Jin
    Yang, Xian
    Luo, Xiaoyuan
    Yan, Jing
    2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 907 - 912
  • [23] Trajectory Tracking of Autonomous Vehicle: A Differential Flatness Approach With Disturbance-Observer-Based Control
    Wang, Xin
    Sun, Weichao
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (02): : 1368 - 1379
  • [24] Finite-time sliding mode trajectory tracking control of an autonomous surface vehicle with prescribed performance
    Gao, Lu
    Liu, Xiang
    Zong, Guangdeng
    Chen, Yunjun
    Shi, Kaibo
    OCEAN ENGINEERING, 2023, 284
  • [25] MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments
    Zhang, Yongding
    Liu, Xiaofeng
    Luo, Minzhou
    Yang, Chenguang
    OCEAN ENGINEERING, 2019, 189
  • [26] Trajectory tracking control for autonomous underwater vehicle with disturbances and input saturation based on contraction theory
    Ma, Caipeng
    Tang, Yu
    Lei, Ming
    Jiang, Dapeng
    Luo, Wanzhen
    OCEAN ENGINEERING, 2022, 266
  • [27] Trajectory Tracking Control of Autonomous Underwater Vehicle With Unknown Parameters and External Disturbances
    Yang, Xian
    Yan, Jing
    Hua, Changchun
    Guan, Xinping
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (02): : 1054 - 1063
  • [28] Trajectory-tracking Control based on UKF for Autonomous Underwater Vehicle with Process and Measurement Noise
    Bo, Liu
    Jian, Yuan
    2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 1036 - 1040
  • [29] Adaptive Tracking Control of an Autonomous Underwater Vehicle
    Basant Kumar Sahu
    Bidyadhar Subudhi
    International Journal of Automation & Computing, 2014, 11 (03) : 299 - 307
  • [30] Adaptive tracking control of an autonomous underwater vehicle
    Sahu B.K.
    Subudhi B.
    Subudhi, Bidyadhar (bidyadhar@nitrkl.ac.in), 1600, Chinese Academy of Sciences (11): : 299 - 307