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A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results

The proposed work aims at exploring and developing new strategies to extend mission parameters (measured as travel distance and mission duration (MD)) of a new class of unmanned vehicles, named Micro Air Vehicles (MAVs). In this paper, a new analytical model, identifying all factors, which determine...

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Detalles Bibliográficos
Autores principales: Citroni, Rocco, Di Paolo, Franco, Livreri, Patrizia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514568/
https://www.ncbi.nlm.nih.gov/pubmed/31013890
http://dx.doi.org/10.3390/s19081771
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author Citroni, Rocco
Di Paolo, Franco
Livreri, Patrizia
author_facet Citroni, Rocco
Di Paolo, Franco
Livreri, Patrizia
author_sort Citroni, Rocco
collection PubMed
description The proposed work aims at exploring and developing new strategies to extend mission parameters (measured as travel distance and mission duration (MD)) of a new class of unmanned vehicles, named Micro Air Vehicles (MAVs). In this paper, a new analytical model, identifying all factors, which determine the MAV power consumption, is presented. Starting from the new model, the design of a nanoarray energy harvester, based on plasmonics nano-antenna technology is proposed. The preliminary study was based on a 22,066,058 22,066,058 × 62,800-dipole rectenna array producing an output power level of 84.14 mW, and an energy value of 2572 J under a power density of 100 mW/cm² and a resonant frequency of 350 THz as input conditions. The preliminary analytical results show a possible recharge of an ultra-fast rechargeable battery on board of a MAV and an MD improvement of 16.30 min.
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spelling pubmed-65145682019-05-30 A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results Citroni, Rocco Di Paolo, Franco Livreri, Patrizia Sensors (Basel) Article The proposed work aims at exploring and developing new strategies to extend mission parameters (measured as travel distance and mission duration (MD)) of a new class of unmanned vehicles, named Micro Air Vehicles (MAVs). In this paper, a new analytical model, identifying all factors, which determine the MAV power consumption, is presented. Starting from the new model, the design of a nanoarray energy harvester, based on plasmonics nano-antenna technology is proposed. The preliminary study was based on a 22,066,058 22,066,058 × 62,800-dipole rectenna array producing an output power level of 84.14 mW, and an energy value of 2572 J under a power density of 100 mW/cm² and a resonant frequency of 350 THz as input conditions. The preliminary analytical results show a possible recharge of an ultra-fast rechargeable battery on board of a MAV and an MD improvement of 16.30 min. MDPI 2019-04-13 /pmc/articles/PMC6514568/ /pubmed/31013890 http://dx.doi.org/10.3390/s19081771 Text en © 2019 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
Citroni, Rocco
Di Paolo, Franco
Livreri, Patrizia
A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title_full A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title_fullStr A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title_full_unstemmed A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title_short A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results
title_sort novel energy harvester for powering small uavs: performance analysis, model validation and flight results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514568/
https://www.ncbi.nlm.nih.gov/pubmed/31013890
http://dx.doi.org/10.3390/s19081771
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