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Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking

Multi-under-actuated unmanned surface vehicles (USV) path tracking control is studied and decoupled by virtue of decentralized control. First, an improved integral line-of-sight guidance strategy is put forward and combined with feedback control to design the path tracking controller and realize the...

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Detalles Bibliográficos
Autores principales: Li, Zefang, Liu, Zhong, Zhang, Jianqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038717/
https://www.ncbi.nlm.nih.gov/pubmed/32041212
http://dx.doi.org/10.3390/s20030864
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author Li, Zefang
Liu, Zhong
Zhang, Jianqiang
author_facet Li, Zefang
Liu, Zhong
Zhang, Jianqiang
author_sort Li, Zefang
collection PubMed
description Multi-under-actuated unmanned surface vehicles (USV) path tracking control is studied and decoupled by virtue of decentralized control. First, an improved integral line-of-sight guidance strategy is put forward and combined with feedback control to design the path tracking controller and realize the single USV path tracking in the horizontal plane. Second, graph theory is utilized to design the decentralized velocity coordination controller for USV formation, so that multiple USVs could consistently realize the specified formation to the position and velocity of the expected path. Third, cascade system theory and Lyapunov stability are used to respectively prove the uniform semi-global exponential stability of single USV path tracking control system and the global asymptotic stability and uniform local exponential stability of coordinated formation system. At last, simulation and field experiment are conducted to analyze and verify the advancement and effectiveness of the proposed algorithms in this paper.
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spelling pubmed-70387172020-03-09 Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking Li, Zefang Liu, Zhong Zhang, Jianqiang Sensors (Basel) Article Multi-under-actuated unmanned surface vehicles (USV) path tracking control is studied and decoupled by virtue of decentralized control. First, an improved integral line-of-sight guidance strategy is put forward and combined with feedback control to design the path tracking controller and realize the single USV path tracking in the horizontal plane. Second, graph theory is utilized to design the decentralized velocity coordination controller for USV formation, so that multiple USVs could consistently realize the specified formation to the position and velocity of the expected path. Third, cascade system theory and Lyapunov stability are used to respectively prove the uniform semi-global exponential stability of single USV path tracking control system and the global asymptotic stability and uniform local exponential stability of coordinated formation system. At last, simulation and field experiment are conducted to analyze and verify the advancement and effectiveness of the proposed algorithms in this paper. MDPI 2020-02-06 /pmc/articles/PMC7038717/ /pubmed/32041212 http://dx.doi.org/10.3390/s20030864 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Zefang
Liu, Zhong
Zhang, Jianqiang
Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title_full Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title_fullStr Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title_full_unstemmed Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title_short Multi-under-Actuated Unmanned Surface Vessel Coordinated Path Tracking
title_sort multi-under-actuated unmanned surface vessel coordinated path tracking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038717/
https://www.ncbi.nlm.nih.gov/pubmed/32041212
http://dx.doi.org/10.3390/s20030864
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