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Trajectory tracking control of unmanned surface vessels with input saturation and full-state constraints
Author(s) -
Hongde Qin,
ChengPeng Li,
Yanchao Sun,
Zhongchao Deng,
Yuhan Liu
Publication year - 2018
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.1177/1729881418808113
Subject(s) - control theory (sociology) , unmanned surface vehicle , computer science , bounded function , trajectory , tracking (education) , lyapunov function , saturation (graph theory) , state (computer science) , surface (topology) , adaptive control , control (management) , mathematics , algorithm , nonlinear system , artificial intelligence , engineering , psychology , mathematical analysis , pedagogy , physics , geometry , astronomy , quantum mechanics , combinatorics , marine engineering
This article investigates the trajectory tracking control problem for unmanned surface vessels with input saturation and full-state constraints. The barrier Lyapunov function is used to solve the problem of state constraints, and the adaptive method is employed to handle the unknown random disturbances and saturation problems. The proposed control approach can guarantee that the control law and signals of closed-loop system are uniformly bounded and achieve the asymptotic tracking. Finally, simulation studies are provided to show the effectiveness of the proposed method.

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