A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field

In this paper a preliminary study of optimal energy systems for autonomous underwater vehicles is presented. A method is developed for achieving maximal autonomy. A general algorithm was developed for the navigation in 6 degrees of freedom in a non-conservative flow field. It is shown that missions...

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Autores principales: Jordán, Mario A., Bustamante, Jorge L.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Optimal energy spent
Unmanned underwater vehicles
AUVs
Dynamic optimization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152792
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-18.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
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spelling I19-R120-10915-1527922023-05-11T20:10:20Z http://sedici.unlp.edu.ar/handle/10915/152792 http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-18.pdf issn:1850-2806 A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field Jordán, Mario A. Bustamante, Jorge L. 2010 2010 2023-05-11T13:13:45Z en Ciencias Informáticas Optimal energy spent Unmanned underwater vehicles AUVs Dynamic optimization In this paper a preliminary study of optimal energy systems for autonomous underwater vehicles is presented. A method is developed for achieving maximal autonomy. A general algorithm was developed for the navigation in 6 degrees of freedom in a non-conservative flow field. It is shown that missions with selective starting point beginning with the direction of the flow are much more favorable for the autonomy. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 1706-1717
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Optimal energy spent
Unmanned underwater vehicles
AUVs
Dynamic optimization
spellingShingle Ciencias Informáticas
Optimal energy spent
Unmanned underwater vehicles
AUVs
Dynamic optimization
Jordán, Mario A.
Bustamante, Jorge L.
A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
topic_facet Ciencias Informáticas
Optimal energy spent
Unmanned underwater vehicles
AUVs
Dynamic optimization
description In this paper a preliminary study of optimal energy systems for autonomous underwater vehicles is presented. A method is developed for achieving maximal autonomy. A general algorithm was developed for the navigation in 6 degrees of freedom in a non-conservative flow field. It is shown that missions with selective starting point beginning with the direction of the flow are much more favorable for the autonomy.
format Objeto de conferencia
Objeto de conferencia
author Jordán, Mario A.
Bustamante, Jorge L.
author_facet Jordán, Mario A.
Bustamante, Jorge L.
author_sort Jordán, Mario A.
title A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
title_short A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
title_full A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
title_fullStr A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
title_full_unstemmed A Real-Time Approach to Achieve Maximal Autonomy of Autonomous Underwater Vehicles in the Presence of Perturbing Flow Field
title_sort real-time approach to achieve maximal autonomy of autonomous underwater vehicles in the presence of perturbing flow field
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/152792
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-18.pdf
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