A novel asymmetrical integral barrier Lyapunov function-based trajectory tracking control for hovercraft with multiple constraints

被引:31
作者
Fu, Mingyu [1 ]
Dong, Lijing [1 ]
Xu, Yujie [1 ]
Dan, Bai [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Hovercraft; Asymmetrical integral BLF; Trajectory tracking; State constraint; EXTENDED STATE OBSERVER; AIR-CUSHION VEHICLE; NONLINEAR-SYSTEMS; INPUT SATURATION; SURFACE VEHICLES; ADAPTIVE-CONTROL; DESIGN;
D O I
10.1016/j.oceaneng.2022.112132
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
This paper addresses the trajectory tracking control problem of a hovercraft with asymmetrical time-varying multiple state constraints in the presence of unmodeled dynamics and external disturbances. By using the four -degree-of-freedom vector mathematical model of hovercraft, an extended state observer is adopted to provide the lumped disturbance estimation. Then, the virtual surge velocity and yaw angular velocity control laws are obtained by using a regular log-type barrier Lyapunov function to stabilize the position and yaw errors. In addition, compared with the traditional symmetric integral barrier Lyapunov function, a new asymmetric integral barrier Lyapunov function is introduced to the design process in this paper to address asymmetric state constraint problems. The surge velocity and yaw angular velocity to the inside of the boundary are analyzed to guarantee the safe turning motion or performance required at high speed, and the tracking errors of the closed-loop system are ultimately uniformly bounded by using the cascade system's stability lemma. The effectiveness of the proposed control scheme is shown via numerical simulations.
引用
收藏
页数:12
相关论文
共 40 条
[21]   An extended state observer for a class of nonlinear systems with a new frequency-domain analysis on convergence [J].
Liu, Xiaodong ;
Zhang, Yu ;
Xiong, Shaofeng ;
Du, Lifu ;
Li, Yitong .
ISA TRANSACTIONS, 2020, 107 :107-116
[22]   Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints [J].
Liu, Yan-Jun ;
Lu, Shumin ;
Tong, Shaocheng ;
Chen, Xinkai ;
Chen, C. L. Philip ;
Li, Dong-Juan .
AUTOMATICA, 2018, 87 :83-93
[23]   Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems [J].
Liu, Yan-Jun ;
Tong, Shaocheng .
AUTOMATICA, 2017, 76 :143-152
[24]   A separation principle for dynamic positioning of ships: Theoretical and experimental results [J].
Loria, A ;
Fossen, TI ;
Panteley, E .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2000, 8 (02) :332-343
[25]   Station-Keeping Control of a Hovering Over-Actuated Autonomous Underwater Vehicle Under Ocean Current Effects and Model Uncertainties in Horizontal Plane [J].
Mai The Vu ;
Ha Le Nhu Ngoc Thanh ;
Tuan-Tu Huynh ;
Quang Thang Do ;
Ton Duc Do ;
Quoc-Dong Hoang ;
Tat-Hien Le .
IEEE ACCESS, 2021, 9 :6855-6867
[26]   Constrained model predictive control: stability and optimality (vol 36, pg 789, 2000) [J].
Mayne, DQ ;
Rawlings, JB .
AUTOMATICA, 2001, 37 (03) :483-483
[27]  
MILLER D, 1965, J APPL MECH, V32, P239
[28]   Distributed finite-time fault-tolerant error constraint containment algorithm for multiple ocean bottom flying nodes with tan-type barrier Lyapunov function [J].
Qin, Hongde ;
Chen, Hui ;
Sun, Yanchao .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (13) :5157-5180
[29]   Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints [J].
Sun, Wei ;
Su, Shun-Feng ;
Wu, Yuqiang ;
Xia, Jianwei ;
Van-Truong Nguyen .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (08) :3424-3432
[30]   Barrier Lyapunov Functions for the control of output-constrained nonlinear systems [J].
Tee, Keng Peng ;
Ge, Shuzhi Sam ;
Tay, Eng Hock .
AUTOMATICA, 2009, 45 (04) :918-927