An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist

There is a growing interest in using unmanned aerial vehicles (UAVs) in the most diverse application areas from agriculture to remote sensing, that determine the need to project and define mission profiles of the UAVs. In addition, solar photovoltaic energy increases the flight autonomy of this type...

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Autores principales:	José Roberto Cândido da Silva, Gefeson Mendes Pacheco
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	photovoltaic generators solar cell solar unmanned aerial vehicles Python aircraft design Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/a54684dbff2f44b38bf8c15fcacf79a0
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id	oai:doaj.org-article:a54684dbff2f44b38bf8c15fcacf79a0
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spelling	oai:doaj.org-article:a54684dbff2f44b38bf8c15fcacf79a02021-11-25T18:57:18ZAn Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist10.3390/s212275411424-8220https://doaj.org/article/a54684dbff2f44b38bf8c15fcacf79a02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7541https://doaj.org/toc/1424-8220There is a growing interest in using unmanned aerial vehicles (UAVs) in the most diverse application areas from agriculture to remote sensing, that determine the need to project and define mission profiles of the UAVs. In addition, solar photovoltaic energy increases the flight autonomy of this type of aircraft, forming the term Solar UAV. This study proposes an extended methodology for sizing Solar UAVs that take off from a runway. This methodology considers mission parameters such as operating location, altitude, flight speed, flight endurance, and payload to sizing the aircraft parameters, such as wingspan, area of embedded solar cells panels, runway length required for takeoff and landing, battery weight, and the total weight of the aircraft. Using the Python language, we developed a framework to apply the proposed methodology and assist in designing a Solar UAV. With this framework, it was possible to perform a sensitivity analysis of design parameters and constraints. Finally, we performed a simulation of a mission, checking the output parameters.José Roberto Cândido da SilvaGefeson Mendes PachecoMDPI AGarticlephotovoltaic generatorssolar cellsolar unmanned aerial vehiclesPythonaircraft designChemical technologyTP1-1185ENSensors, Vol 21, Iss 7541, p 7541 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	photovoltaic generators solar cell solar unmanned aerial vehicles Python aircraft design Chemical technology TP1-1185
spellingShingle	photovoltaic generators solar cell solar unmanned aerial vehicles Python aircraft design Chemical technology TP1-1185 José Roberto Cândido da Silva Gefeson Mendes Pacheco An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
description	There is a growing interest in using unmanned aerial vehicles (UAVs) in the most diverse application areas from agriculture to remote sensing, that determine the need to project and define mission profiles of the UAVs. In addition, solar photovoltaic energy increases the flight autonomy of this type of aircraft, forming the term Solar UAV. This study proposes an extended methodology for sizing Solar UAVs that take off from a runway. This methodology considers mission parameters such as operating location, altitude, flight speed, flight endurance, and payload to sizing the aircraft parameters, such as wingspan, area of embedded solar cells panels, runway length required for takeoff and landing, battery weight, and the total weight of the aircraft. Using the Python language, we developed a framework to apply the proposed methodology and assist in designing a Solar UAV. With this framework, it was possible to perform a sensitivity analysis of design parameters and constraints. Finally, we performed a simulation of a mission, checking the output parameters.
format	article
author	José Roberto Cândido da Silva Gefeson Mendes Pacheco
author_facet	José Roberto Cândido da Silva Gefeson Mendes Pacheco
author_sort	José Roberto Cândido da Silva
title	An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
title_short	An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
title_full	An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
title_fullStr	An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
title_full_unstemmed	An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist
title_sort	extended methodology for sizing solar unmanned aerial vehicles: theory and development of a python framework for design assist
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a54684dbff2f44b38bf8c15fcacf79a0
work_keys_str_mv	AT joserobertocandidodasilva anextendedmethodologyforsizingsolarunmannedaerialvehiclestheoryanddevelopmentofapythonframeworkfordesignassist AT gefesonmendespacheco anextendedmethodologyforsizingsolarunmannedaerialvehiclestheoryanddevelopmentofapythonframeworkfordesignassist AT joserobertocandidodasilva extendedmethodologyforsizingsolarunmannedaerialvehiclestheoryanddevelopmentofapythonframeworkfordesignassist AT gefesonmendespacheco extendedmethodologyforsizingsolarunmannedaerialvehiclestheoryanddevelopmentofapythonframeworkfordesignassist
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An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist

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