Trajectory Tracking Control for Vector Propulsion Unmanned Surface Vehicle With Incomplete Underactuated Inputs

被引:5
|
作者
Sun, Xiaojie [1 ]
Wang, Guofeng [2 ,3 ]
Fan, Yunsheng [2 ,3 ]
机构
[1] Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471023, Peoples R China
[2] Dalian Maritime Univ, Liaoning Prov Key Lab Technol & Syst Intelligent S, Dalian 116026, Peoples R China
[3] Dalian Maritime Univ, Coll Marine Elect Engn, Dalian 116026, Peoples R China
基金
中国国家自然科学基金;
关键词
Approximate saturation function; guidance trajectory; incomplete underactuated; trajectory tracking; virtual control point; PATH-FOLLOWING CONTROL; ADAPTIVE-CONTROL; VESSELS; DISTURBANCE; SHIPS; STABILIZATION; UNCERTAINTIES; OUTPUT; MODEL;
D O I
10.1109/JOE.2022.3154798
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Considering different propulsion systems of unmanned surface vehicles (USVs), it is necessary to design corresponding vessel motion controllers according to propulsion characteristics. This article devotes to solve the problem of trajectory tracking control for vector propulsion USV. By analyzing actuator distribution of vector propulsion, the vessel can be regarded as an incomplete underactuated system, and the control inputs adopt thruster speed and propulsion angle which are closer to reality. On this basis, the guidance trajectory and adaptive sliding mode controller based on virtual control point theory are proposed to realize trajectory tracking control of vector propulsion USV with system uncertainty and external disturbance. The designed guidance trajectory can guide the vessel to return to the desired trajectory when position error is large, and the system stability is illustrated by stability proof. Then in the design process of the controller, to mitigate chattering for sliding mode, a continuously derivable approximate saturation function is used instead of the signum function. Next, by zero-dynamics stability analysis, the position of the dynamic virtual control point is obtained with the relationship between the virtual control point and vessel speed. Finally, numerical simulations are carried out with two kinds of trajectory tracking scenarios to verify the correctness and feasibility of the proposed control strategy.
引用
收藏
页码:80 / 92
页数:13
相关论文
共 50 条
  • [31] A Trajectory Tracking Control Method for Underactuated Surface Ships
    Liu Yang
    Guo Chen
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 1407 - 1410
  • [32] Trajectory tracking control of an underactuated unmanned underwater vehicle synchronously following mother submarine without velocity measurement
    Xu, Jian
    Wang, Man
    Zhang, Gengshi
    ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (07) : 1 - 11
  • [33] Horizontal-plane Trajectory-tracking Control of an Underactuated Unmanned Marine Vehicle in the Presence of Ocean Currents
    Dong, Zaopeng
    Wan, Lei
    Liu, Tao
    Zeng, Jiangfeng
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 13
  • [34] Asymptotic tracking control of an underactuated tilt trirotor unmanned aerial vehicle
    Xian, Bin
    Xie, Tian
    Jin, Xin
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 159
  • [35] Robust trajectory tracking control of underactuated unmanned surface vehicles with exponential stability: theory and experimental validation
    Yu, Rui
    Zhou, Hua
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (04): : 726 - 734
  • [36] Simultaneous planning and executing trajectory tracking control for underactuated unmanned surface vehicles from theory to practice
    Qu, Yang
    Cai, Lilong
    OCEAN ENGINEERING, 2023, 270
  • [37] Vector field-based integral LOS path following and target tracking for underactuated unmanned surface vehicle
    Wang, Meng
    Su, Yiming
    Wu, Nailong
    Fan, Yuxin
    Qi, Jie
    Wang, Yueying
    Feng, Zhiguang
    OCEAN ENGINEERING, 2023, 285
  • [38] Identification of an Underactuated Unmanned Surface Vehicle
    Zhao Jiang
    西北工业大学学报, 2012, 30 (05) : 699 - 705
  • [39] Trajectory Tracking Control for Unmanned Surface Vehicle Subject to Unmeasurable Disturbance and Input Saturation
    Zhao, Yongsheng
    Mu, Dongdong
    Wang, Guofeng
    Fan, Yunsheng
    IEEE ACCESS, 2020, 8 : 191278 - 191285
  • [40] Dual Deep Neural Networks for Improving Trajectory Tracking Control of Unmanned Surface Vehicle
    Sun, Wenli
    Gao, Xu
    Yu, Yanli
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 3441 - 3446