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Robust Formation Control for Multiple Underwater Vehicles
This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up a predefined formation structure by attaining...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805625/ https://www.ncbi.nlm.nih.gov/pubmed/33501105 http://dx.doi.org/10.3389/frobt.2019.00090 |
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author | Bechlioulis, Charalampos P. Giagkas, Fotis Karras, George C. Kyriakopoulos, Kostas J. |
author_facet | Bechlioulis, Charalampos P. Giagkas, Fotis Karras, George C. Kyriakopoulos, Kostas J. |
author_sort | Bechlioulis, Charalampos P. |
collection | PubMed |
description | This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up a predefined formation structure by attaining specific distances among their neighboring AUVs, while avoiding collisions and enabling at the same time relative localization. More specifically, a decentralized control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment. The control signal of each vehicle is calculated based on the relative position of its neighbors and its own velocity only, which can be easily acquired by the onboard sensors without necessitating for explicit network communication. Finally, a realistic simulation study with five AUVs performing seabed scanning was conducted to clarify the approach and verify the theoretical findings of this work. |
format | Online Article Text |
id | pubmed-7805625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78056252021-01-25 Robust Formation Control for Multiple Underwater Vehicles Bechlioulis, Charalampos P. Giagkas, Fotis Karras, George C. Kyriakopoulos, Kostas J. Front Robot AI Robotics and AI This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up a predefined formation structure by attaining specific distances among their neighboring AUVs, while avoiding collisions and enabling at the same time relative localization. More specifically, a decentralized control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment. The control signal of each vehicle is calculated based on the relative position of its neighbors and its own velocity only, which can be easily acquired by the onboard sensors without necessitating for explicit network communication. Finally, a realistic simulation study with five AUVs performing seabed scanning was conducted to clarify the approach and verify the theoretical findings of this work. Frontiers Media S.A. 2019-09-24 /pmc/articles/PMC7805625/ /pubmed/33501105 http://dx.doi.org/10.3389/frobt.2019.00090 Text en Copyright © 2019 Bechlioulis, Giagkas, Karras and Kyriakopoulos. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Bechlioulis, Charalampos P. Giagkas, Fotis Karras, George C. Kyriakopoulos, Kostas J. Robust Formation Control for Multiple Underwater Vehicles |
title | Robust Formation Control for Multiple Underwater Vehicles |
title_full | Robust Formation Control for Multiple Underwater Vehicles |
title_fullStr | Robust Formation Control for Multiple Underwater Vehicles |
title_full_unstemmed | Robust Formation Control for Multiple Underwater Vehicles |
title_short | Robust Formation Control for Multiple Underwater Vehicles |
title_sort | robust formation control for multiple underwater vehicles |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805625/ https://www.ncbi.nlm.nih.gov/pubmed/33501105 http://dx.doi.org/10.3389/frobt.2019.00090 |
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