Random geometric graphs as a model for bounding the endurance of soaring aircraft

Nathan T. Depenbusch, Constantino Lagoa, Jack W. Langelaan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Soaring aircraft and birds utilize the energy of atmospheric convection to remain aloft. As this source of energy gains attention as a method for prolonging the flight times of small UAVs, it is necessary to evaluate the conditions under which it is a viable option. The indefinite endurance problem for soaring aircraft is cast in terms of a random geometric graph. Tools developed for the analysis of random graphs are used to bound the relationship between aircraft efficiency and energy abundance in the atmosphere. A theoretical threshold is arrived at, over which indefinite endurance flights may be possible in an unbounded domain. Simulation results are presented that confirm the existence of a threshold which compares favorably to what is predicted by random graph theory. Extensions are made to missions restricted to finite domains as well.

Original languageEnglish (US)
Title of host publication53rd IEEE Conference on Decision and Control,CDC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-253
Number of pages6
EditionFebruary
ISBN (Electronic)9781479977468
DOIs
StatePublished - 2014
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

Publication series

NameProceedings of the IEEE Conference on Decision and Control
NumberFebruary
Volume2015-February
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Country/TerritoryUnited States
CityLos Angeles
Period12/15/1412/17/14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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