Empirical Power Consumption Model for UAVs

Abeywickrama, HV; Jayawickrama, BA; He, Y; Dutkiewicz, E

Empirical Power Consumption Model for UAVs

Abeywickrama, HV Jayawickrama, BA He, Y

Dutkiewicz, E

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2018, 2018-August
Issue Date:: 2018-07-02

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Field	Value	Language
dc.contributor.author	Abeywickrama, HV	en_US
dc.contributor.author	Jayawickrama, BA	en_US
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.date.available	2020-08-05T19:09:13Z
dc.date.issued	2018-07-02	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2018, 2018-August	en_US
dc.identifier.isbn	9781538663585	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133075
dc.description.abstract	© 2018 IEEE. Unmanned Aerial Vehicles (UAV) are gaining popularity in a range of areas and are already being used for a wide variety of purposes. While UAVs have many desirable features, limited battery lifetime is identified as a key restriction in UAV applications. Typical UAVs being electric devices, powered by on-board batteries, this constrain has limited their capabilities to a considerable extent. Thus planning UAV missions in an energy efficient manner is of utmost importance. To achieve this, for prediction of power consumption, it is necessary to have a reliable power consumption model. In this paper, we present a consistent and complete power consumption model for UAVs based on empirical studies of battery usage for various UAV activities. The power consumption model presented in this paper can be readily used for energy efficient UAV mission planning.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCFall.2018.8690666	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Empirical Power Consumption Model for UAVs	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-August	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	091303 Autonomous Vehicles	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-August	en_US

Abstract:

© 2018 IEEE. Unmanned Aerial Vehicles (UAV) are gaining popularity in a range of areas and are already being used for a wide variety of purposes. While UAVs have many desirable features, limited battery lifetime is identified as a key restriction in UAV applications. Typical UAVs being electric devices, powered by on-board batteries, this constrain has limited their capabilities to a considerable extent. Thus planning UAV missions in an energy efficient manner is of utmost importance. To achieve this, for prediction of power consumption, it is necessary to have a reliable power consumption model. In this paper, we present a consistent and complete power consumption model for UAVs based on empirical studies of battery usage for various UAV activities. The power consumption model presented in this paper can be readily used for energy efficient UAV mission planning.

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http://hdl.handle.net/10453/133075