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dc.contributor.authorHovenburg, Anthony Reinier
dc.contributor.authorAndrade, Fabio
dc.contributor.authorRodin, Christopher D
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2018-01-02T15:30:13Z
dc.date.available2018-01-02T15:30:13Z
dc.date.created2017-12-10T12:06:35Z
dc.date.issued2017
dc.identifier.citation2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)nb_NO
dc.identifier.isbn978-1-5386-0938-5
dc.identifier.urihttp://hdl.handle.net/11250/2474164
dc.description.abstractThis article presents a path planning optimization method which aims to mitigate the risks in the event of a critical engine or generator failure in hybrid-electric UAS. This is achieved through continuous determination of the optimum flight path, based on the remaining battery range and expected local wind conditions. The result is a dynamically adjusting flight path which ensures the aircraft to remain within range of pre-specified safe landing spots. The developed algorithm uses the particle swarm optimization technique to optimize the flight path, and incorporates regional wind information in order to increase the accuracy of the expected in-flight performance of the aircraft.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.relation.ispartof2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)
dc.titleContingency Path Planning for Hybrid-electric UASnb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/RED-UAS.2017.8101640
dc.identifier.cristin1525269
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.relation.projectEC/H2020/642153nb_NO
dc.description.localcode© 2017 IEEE. This is the authors' accepted version of the manuscript. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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