Adaptive Output Feedback Control of Underactuated Marine Surface Vehicles Under Input Saturation

被引:0
|
作者
Zeng, Daohui [1 ]
Cai, Chengtao [1 ]
Liu, Yongchao [2 ]
Zhao, Jie [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
[2] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China
关键词
Artificial neural networks; Uncertainty; Output feedback; Adaptation models; Adaptive systems; Vectors; Underactuated surface vessels; Process control; Dynamical systems; Computational modeling; Underactuated marine surface vehicles; input saturation; state observer; auxiliary dynamic system; output feedback control; PATH-FOLLOWING CONTROL; TRACKING CONTROL; TRAJECTORY TRACKING; VESSELS; DYNAMICS;
D O I
10.1109/TITS.2024.3495997
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study addresses the tracking control issue of underactuated marine surface vehicles (UMSVs) with parameter and external uncertainties, input saturation, and unmeasurable velocity. An adaptive output feedback control scheme is developed without assuming the fore-aft symmetry of the hull. First, a state observer is developed to estimate the unmeasurable velocity. Next, the UMSV model is transformed into an integral cascade form using the hand position approach to overcome the design difficulties caused by the underactuated feature and asymmetric hull characteristics. Then, an adaptive auxiliary dynamic system is designed to solve the problem of input saturation caused by actuator constraints. In addition, the Lyapunov theory is applied to demonstrate the capability of the proposed control scheme to ensure the boundedness of the observation and tracking errors in the control system. Finally, the effectiveness of the developed control scheme is verified through simulation.
引用
收藏
页码:1101 / 1112
页数:12
相关论文
共 50 条
  • [21] Output Feedback Control for Underactuated Unmanned Underwater Vehicles
    Yan Zheping
    Wang Man
    Xu Jian
    Jiang Anzuo
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 4567 - 4572
  • [22] Adaptive neural control for cooperative path following of marine surface vehicles: state and output feedback
    Wang, H.
    Wang, D.
    Peng, Z. H.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (02) : 343 - 359
  • [23] Adaptive Neural Output Feedback Control for Uncertain Robot Manipulators with Input Saturation
    Mei, Rong
    Yu, ChengJiang
    COMPLEXITY, 2017,
  • [24] Adaptive fuzzy tracking control for underactuated surface vessels with unmodeled dynamics and input saturation
    Deng, Yingjie
    Zhang, Xianku
    Im, Namkyun
    Zhang, Guoqing
    Zhang, Qiang
    ISA TRANSACTIONS, 2020, 103 : 52 - 62
  • [25] Adaptive Output Feedback Control for Systems with Time-varying Output Constraint and Input Saturation
    Wang Min
    Zhang Tianping
    Shi Luhuan
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3325 - 3330
  • [26] A Model-Free Output Feedback Control Approach for the Stabilization of Underactuated TORA System with Input Saturation
    Pan, Changzhong
    Cui, Chenchen
    Zhou, Lan
    Xiong, Peiyin
    Li, Zhijing
    ACTUATORS, 2022, 11 (03)
  • [27] Global Adaptive Stabilization Control of Underactuated Ships with Input Saturation
    Huang, Jiangshuai
    Gao, Tingting
    Zhou, Yong
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3281 - 3285
  • [28] Adaptive sliding mode output feedback control for dynamic positioning ships with input saturation
    Liang, Kun
    Lin, Xiaogong
    Chen, Yu
    Li, Juan
    Ding, Fuguang
    OCEAN ENGINEERING, 2020, 206
  • [29] Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
    Zhou, Qi
    Wang, Lijie
    Wu, Chengwei
    Li, Hongyi
    Du, Haiping
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (01): : 1 - 12
  • [30] Adaptive fuzzy output-feedback control for output constrained nonlinear systems in the presence of input saturation
    Li, Yongming
    Tong, Shaocheng
    Li, Tieshan
    FUZZY SETS AND SYSTEMS, 2014, 248 : 138 - 155