Autonomous Underwater Vehicles and Field of View in Underwater Operations

Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and n...

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Main Authors: Isaac Segovia Ramírez, Pedro José Bernalte Sánchez, Mayorkinos Papaelias, Fausto Pedro García Márquez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/3/277
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spelling doaj-e284c63314c64e84bab64e18ba3f33902021-04-02T20:34:15ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-03-01927727710.3390/jmse9030277Autonomous Underwater Vehicles and Field of View in Underwater OperationsIsaac Segovia Ramírez0Pedro José Bernalte Sánchez1Mayorkinos Papaelias2Fausto Pedro García Márquez3Ingenium Research Group, Universidad Castilla—La Mancha, 13071 Ciudad Real, SpainIngenium Research Group, Universidad Castilla—La Mancha, 13071 Ciudad Real, SpainSchool of Metallurgy and Materials, University of Birmingham, Birmingham B15 2TT, UKIngenium Research Group, Universidad Castilla—La Mancha, 13071 Ciudad Real, SpainSubmarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.https://www.mdpi.com/2077-1312/9/3/277autonomous underwater vehiclesoperation, field of viewoptimizationcondition monitoring systemtrajectory developmentnon-destructive diagnosis
collection DOAJ
language English
format Article
sources DOAJ
author Isaac Segovia Ramírez
Pedro José Bernalte Sánchez
Mayorkinos Papaelias
Fausto Pedro García Márquez
spellingShingle Isaac Segovia Ramírez
Pedro José Bernalte Sánchez
Mayorkinos Papaelias
Fausto Pedro García Márquez
Autonomous Underwater Vehicles and Field of View in Underwater Operations
Journal of Marine Science and Engineering
autonomous underwater vehicles
operation, field of view
optimization
condition monitoring system
trajectory development
non-destructive diagnosis
author_facet Isaac Segovia Ramírez
Pedro José Bernalte Sánchez
Mayorkinos Papaelias
Fausto Pedro García Márquez
author_sort Isaac Segovia Ramírez
title Autonomous Underwater Vehicles and Field of View in Underwater Operations
title_short Autonomous Underwater Vehicles and Field of View in Underwater Operations
title_full Autonomous Underwater Vehicles and Field of View in Underwater Operations
title_fullStr Autonomous Underwater Vehicles and Field of View in Underwater Operations
title_full_unstemmed Autonomous Underwater Vehicles and Field of View in Underwater Operations
title_sort autonomous underwater vehicles and field of view in underwater operations
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2021-03-01
description Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.
topic autonomous underwater vehicles
operation, field of view
optimization
condition monitoring system
trajectory development
non-destructive diagnosis
url https://www.mdpi.com/2077-1312/9/3/277
work_keys_str_mv AT isaacsegoviaramirez autonomousunderwatervehiclesandfieldofviewinunderwateroperations
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AT mayorkinospapaelias autonomousunderwatervehiclesandfieldofviewinunderwateroperations
AT faustopedrogarciamarquez autonomousunderwatervehiclesandfieldofviewinunderwateroperations
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