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Extended- Range Marine Unmanned Surface Vehicles for Border Surveillance Missions

2024-07-30Conference paper Open access
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dc.contributor.authorFernandes, J. F. P.
dc.contributor.authorBranco, P. J. Costa
dc.contributor.authorMarat-Mendes, R.
dc.contributor.authorPóvoa, R.
dc.contributor.authorTeodoro, P.
dc.contributor.authorNeves, J.
dc.contributor.authorMarques, H.
dc.contributor.authorPinheiro, P.
dc.contributor.authorAfonso, P.
dc.contributor.authorSerrano, D.
dc.contributor.authorAssunção, M.
dc.date.accessioned2025-11-11T16:27:20Z
dc.date.available2025-11-11T16:27:20Z
dc.date.issued2024-07-30
dc.description.abstractThis work focuses on the development of extended-range marine unmanned surface vehicles (USV) for border surveillance missions. USVs present many advantages for marine applications due to their energy-saving capabilities and lack of in-board pilot needs. Nevertheless, due to their small scales, USVs often present reduced mission ranges. In order to overcome this handicap, this work proposes the application of innovative energy management strategies to optimize the available energy during one mission. This solution is based on path and speed optimizations, taking into account the most probable weather and sea conditions, to define a mission plan. The proposed energy management optimization is supported by the USV simulation model. This model is calibrated and verified with two experimental tests: one in an indoor swimming pool and the other in an outdoor enclosed harbour. Applying the proposed optimization strategy results in energy savings between 10 and 35.9%, subject to the maximization of mission time. This work is carried out within the international project SEMS4USV, supported by Frontex.por
dc.identifier.citationJ. F. P. Fernandes et al., "Extended-Range Marine Unmanned Surface Vehicles for Border Surveillance Missions," 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 960-965, doi: 10.1109/MELECON56669.2024.10608621. keywords: {Photovoltaic systems;Sea surface;Surveillance;Energy conservation;Finite element analysis;Rivers;Optimization;Unmanned Surface Vehicle;Modelling;Energy Management System;Optimization},
dc.identifier.doi10.1109/MELECON56669.2024.10608621
dc.identifier.issn2158-8481
dc.identifier.urihttp://hdl.handle.net/10400.26/59625
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation10.13039/501100019370-Foundation for Science and Technology
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/10608621
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPhotovoltaic systems
dc.subjectSea surface
dc.subjectSurveillance
dc.subjectEnergy conservation
dc.subjectFinite element analysis
dc.subjectRivers
dc.subjectOptimization
dc.subjectUnmanned Surface Vehicle
dc.subjectModelling
dc.subjectEnergy Management System
dc.titleExtended- Range Marine Unmanned Surface Vehicles for Border Surveillance Missionspor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2024-06
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage965
oaire.citation.startPage960
oaire.citation.title2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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