Adaptive fixed-time backstepping control for three-dimensional trajectory tracking of underactuated autonomous underwater vehicles

被引：50

作者：

Chen, Hongxuan ^{[1
]}

Tang, Guoyuan ^{[1
]}

Wang, Shufeng ^{[1
]}

Guo, Wenxuan ^{[1
]}

Huang, Hui ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Peoples R China

来源：

OCEAN ENGINEERING | 2023年 / 275卷

基金：

中国国家自然科学基金;

关键词：

Fixed time; 3D trajectory tracking; Adaptive control; Backstepping; AUV; SLIDING MODE CONTROL; NEURAL-NETWORK; SYSTEMS;

D O I：

10.1016/j.oceaneng.2023.114109

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：

An adaptive fixed-time backstepping control is proposed to achieve the three-dimensional trajectory tracking control of an underactuated autonomous underwater vehicle (AUV) in the presence of model uncertainty and external disturbances. In this paper, the dynamics of the AUV in terms of five degrees of freedom (DOFs) are discussed. Considering it is an underactuated AUV, a virtual velocity guidance law is derived using the back -stepping method. For velocity convergence, an adaptive fixed-time control is derived without model parameters, with adaptive adjusting law tackling system unknows. Theoretical analyses demonstrate that the tracking error converges to a small bounded field within a fixed time in the proposed control scheme. The effectiveness and superiority of the proposed method are verified by simulation results.

引用

页数：11

共 34 条

[11] Study of 3 dimension trajectory tracking of underactuated autonomous underwater vehicle [J].

Li, Ye ;

Wei, Cong ;

Wu, Qi ;

Chen, Pengyun ;

Jiang, Yanqing ;

Li, Yiming .

OCEAN ENGINEERING, 2015, 105 :270-274

[12] Finite-Time Prescribed Performance Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles Based on a Tan-Type Barrier Lyapunov Function [J].

Liu, Haitao ;

Meng, Bingxin ;

Tian, Xuehong .

IEEE ACCESS, 2022, 10 :53664-53675

[13] Composite learning tracking control for underactuated autonomous underwater vehicle with unknown dynamics and disturbances in three-dimension space [J].

Liu, Junnan ;

Du, Jialu .

APPLIED OCEAN RESEARCH, 2021, 112

[14] Lagrange modeling and navigation based on quaternion for controlling a micro AUV under perturbations [J].

Rodriguez, Jonathan ;

Castaneda, Herman ;

Gordillo, J. L. .

ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 124

[15] On adaptive sliding mode control without a priori bounded uncertainty [J].

Roy, Spandan ;

Baldi, Simone ;

Fridman, Leonid M. .

AUTOMATICA, 2020, 111

[16] Advanced Control in Marine Mechatronic Systems: A Survey [J].

Shi, Yang ;

Shen, Chao ;

Fang, Huazhen ;

Li, Huiping .

IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2017, 22 (03) :1121-1131

[17] Neural network feedback linearization target tracking control of underactuated autonomous underwater vehicles with a guaranteed performance [J].

Shojaei, Khoshnam .

OCEAN ENGINEERING, 2022, 258

[18] On the neuro-adaptive feedback linearising control of underactuated autonomous underwater vehicles in three-dimensional space [J].

Shojaei, Khoshnam ;

Arefi, Mohammad Mehdi .

IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (08) :1264-1273

[19] Command filter based adaptive neural trajectory tracking control of an underactuated underwater vehicle in three-dimensional space [J].

Wang, Jinqiang ;

Wang, Cong ;

Wei, Yingjie ;

Zhang, Chengju .

OCEAN ENGINEERING, 2019, 180 :175-186

[20] Adaptive neural network-based backstepping fault tolerant control for underwater vehicles with thruster fault [J].

Wang, Yujia ;

Zhang, Mingjun' ;

Wilson, Philip A. ;

Liu, Xing .

OCEAN ENGINEERING, 2015, 110 :15-24

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