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Optimization modeling of autonomous support with battery replacement for swarm UAVs

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Autonomous battery replacement support can greatly enhance the mission sustainment capability of unmanned aerial vehicle (UAV) performing complex missions. In this paper, we analyze the spatiotemporal correlation characteristics of complex missions of swarm UAVs, establish a swarm UAV mission network model to describe the quantitative relationship between the battery power and the routing, put forward a swarm UAV autonomous battery replacement support process model, and carry out an analysis of the average self-sustaining time of the swarm autonomous battery replacement under the dynamic threshold of the battery. A swarm UAV range optimization model under autonomous power exchange mode is established, which can optimize the maximum average range of a swarm UAV under a given battery resource constraint. Decision support is provided for the development of autonomous power exchange guarantee scheme for swarm UAVs.

Original languageEnglish
Title of host publicationEquipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
EditorsRuqiang Yan, Jing Lin
PublisherCRC Press/Balkema
Pages737-745
Number of pages9
ISBN (Print)9781032746302
DOIs
StatePublished - 2025
Event1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023 - Hefei, China
Duration: 21 Sep 202323 Sep 2023

Publication series

NameEquipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
Volume1

Conference

Conference1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023
Country/TerritoryChina
CityHefei
Period21/09/2323/09/23

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