Safety-Guaranteed, Robust, Nonlinear, Path-Following Control of the Underactuated Hovercraft Based on FTESO

被引:14
作者
Fu, Mingyu [1 ]
Wang, Qiusu [1 ]
机构
[1] Harbin Engn Univ, Dept Intelligent Syst Sci & Engn, Harbin 150006, Peoples R China
基金
中国国家自然科学基金;
关键词
hovercraft; path-following control; FTESO; line-of-sight; AIR-CUSHION VEHICLE; SURFACE VEHICLES; TRACKING CONTROL; MODEL; VESSELS; DESIGN;
D O I
10.3390/jmse11061235
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
On account of the external disturbances and difficult maneuverability of a hovercraft, this paper devises a safety-guaranteed, robust, nonlinear, path-following control strategy of a hovercraft targeted for unknown dynamics, unavailable velocity, and unknown external ocean disturbances. Firstly, for the sake of accurately observing unavailable lumped disturbances and unavailable velocity measurements, a finite-time extended state observer (FTESO) is proposed. Secondly, a line-of-sight (LOS) guidance law constructed with a bounded-gain-forgetting (BGF) adaptive estimator is devised to follow the desired path while considering external environmental disturbances accurately, in which the tracking errors and the parameter estimation are both proven to be bounded. In addition, for the sake of safety, a safety-guaranteed auxiliary system that can constrain the drift angle during the hovercraft's navigation is proposed. Thirdly, the robust, nonlinear, path-following controllers achieved high tracking performance with the constructed safety-guaranteed compensation backstepping method. Finally, according to the Lyapunov and homogeneous theories, the observation error can be guaranteed to zero and the tracking error can converge to an arbitrarily small region near zero in finite time. Numerical simulations illustrate the effectiveness for the proposed robust, nonlinear, path-following scheme.
引用
收藏
页数:21
相关论文
共 37 条
[1]  
Adetola V., 2009, IFAC Proceedings Volumes (IFAC-PapersOnline), V7, P249
[2]   Performance Improvement in Adaptive Control of Linearly Parameterized Nonlinear Systems [J].
Adetola, Veronica ;
Guay, Martin .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (09) :2182-2186
[3]   Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints [J].
Chen, Mou ;
Ge, Shuzhi Sam ;
Ren, Beibei .
AUTOMATICA, 2011, 47 (03) :452-465
[4]   Wave resistance of a hovercraft moving in water with nonrigid bottom [J].
Cohen, M ;
Miloh, T ;
Zilman, G .
OCEAN ENGINEERING, 2001, 28 (11) :1461-1478
[5]  
Dhaliwal S., 2012, IFAC ADCHEM S SING, P391, DOI DOI 10.3182/20120710-4-SG-2026.00173
[6]   Robust dynamic positioning of ships with disturbances under input saturation [J].
Du, Jialu ;
Hu, Xin ;
Krstic, Miroslav ;
Sun, Yuqing .
AUTOMATICA, 2016, 73 :207-214
[7]   Adaptive Safety Motion Control for Underactuated Hovercraft Using Improved Integral Barrier Lyapunov Function [J].
Fu, Mingyu ;
Zhang, Tan ;
Ding, Fuguang .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2021, 19 (08) :2784-2796
[8]   Safety-guaranteed adaptive neural motion control for a hovercraft with multiple constraints [J].
Fu, Mingyu ;
Zhang, Tan ;
Ding, Fuguang ;
Wang, Duansong .
OCEAN ENGINEERING, 2021, 220 (220)
[9]   Design of driver assistance system for air cushion vehicle with uncertainty based on model knowledge neural network [J].
Fu, Mingyu ;
Gao, Shuang ;
Wang, Chenglong ;
Li, Mingyang .
OCEAN ENGINEERING, 2019, 172 :296-307
[10]   Human-Centered Automatic Tracking System for Underactuated Hovercraft Based on Adaptive Chattering-Free Full-Order Terminal Sliding Mode Control [J].
Fu, Mingyu ;
Gao, Shuang ;
Wang, Chenglong ;
Li, Mingyang .
IEEE ACCESS, 2018, 6 :37883-37892