Trajectory-Tracking Control of Underwater Vehicles

被引:5
作者
Zak, Andrzej [1 ]
机构
[1] Polish Naval Acad, PL-81103 Gdynia, Poland
来源
ADVANCES IN MECHATRONIC SYSTEMS, MECHANICS AND MATERIALS | 2013年 / 196卷
关键词
trajectory tracking; underwater vehicles; control system; fuzzy logic;
D O I
10.4028/www.scientific.net/SSP.196.156
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The main aim of paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicle which task is trajectory tracking with high accuracy. Firstly the problem of trajectory tracking and its formal and mathematical description were introduced. Next the proposed fuzzy autopilot which assure high precision of trajectory tracking by underwater vehicle was presented. At the end the example results of research on trajectory tracking in environment without and with disturbance were presented. The paper is finished by summary which include conclusions derive from results of research.
引用
收藏
页码:156 / 165
页数:10
相关论文
共 50 条
[31]   Adaptive Trajectory Tracking Control With Novel Heading Angle and Velocity Compensation for Autonomous Underwater Vehicles [J].
Wang, Rui ;
Tang, Liqiang ;
Yang, Yongliang ;
Wang, Shuo ;
Tan, Min ;
Xu, Cheng-Zhong .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (03) :2135-2147
[32]   Adaptive Trajectory Tracking Control for Small Unmanned Underwater Vehicles With Prescribed Performance and Dynamic Compensation [J].
Liang, Hongtao ;
Yu, Junzhi ;
Li, Huiping .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024,
[33]   Trajectory tracking control based on a virtual closed-loop system for autonomous underwater vehicles [J].
Liu, Xing ;
Zhang, Mingjun ;
Chen, Zeyu .
INTERNATIONAL JOURNAL OF CONTROL, 2020, 93 (12) :2789-2803
[34]   Trajectory tracking control of vectored thruster autonomous underwater vehicles based on deep reinforcement learning [J].
Liu, Tao ;
Zhao, Jintao ;
Hu, Yuli ;
Huang, Junhao .
SHIPS AND OFFSHORE STRUCTURES, 2024,
[35]   Model Predictive Adaptive Constraint Tracking Control for Underwater Vehicles [J].
Gan, Wenyang ;
Zhu, Daqi ;
Hu, Zhen ;
Shi, Xianpeng ;
Yang, Lei ;
Chen, Yunsai .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (09) :7829-7840
[36]   Improved Adaptive High-Order Sliding Mode-Based Control for Trajectory Tracking of Autonomous Underwater Vehicles [J].
Guerrero, Jesus ;
Chemori, Ahmed ;
Creuze, Vincent ;
Torres, Jorge .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2024, 49 (04) :1337-1349
[37]   Research on Trajectory-Tracking Control System of Tracked Wall-Climbing Robots [J].
Zhang, Haoyan ;
Wu, Jiaqi ;
An, Yang ;
Xie, Pengshu ;
Cui, Da .
SENSORS, 2024, 24 (01)
[38]   Fuzzy Reinforcement Learning Based Trajectory-tracking Control of an Autonomous Mobile Robot [J].
Zaman, Muhammad Qomaruz ;
Wu, Hsiu-Ming .
2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, :840-845
[39]   Alternative trajectory-tracking control approach for marine surface vessels with experimental verification [J].
Fahimi, Farbod ;
Van Kleeck, Chris .
ROBOTICA, 2013, 31 :25-33
[40]   Coordinated Trajectory-Tracking Control of a Marine Aerial-Surface Heterogeneous System [J].
Wang, Ning ;
Ahn, Choon Ki .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (06) :3198-3210