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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/11139

Title: Trajectory generation for autonomous soaring UAS
Authors: Clarke, Jonathan H.A.
Chen, Wen-Hua
Keywords: Unmanned aerial vehicles (UAV)
Unmanned aerial systems (UAS)
Soaring
Trajectory
Thermal
Optimal
Heuristic
Issue Date: 2012
Publisher: © Springer Verlag and Institute of Automation, Chinese Academy of Sciences
Citation: CLARKE, J.H.A. and CHEN, W-H, 2012. Trajectory generation for autonomous soaring UAS. International Journal of Automation and Computing, 9 (3), pp. 248 - 256
Abstract: As unmanned aerial vehicles are expected to do more and more advanced tasks, improved range and persistence is required. This paper presents a method of using shallow layer cumulus convection to extend the range and duration of small unmanned aerial vehicles. A simulation model of an X-models XCalubur electric motor-glider is used in combination with a refined 4D parametric thermal model to simulate soaring flight. The parametric thermal model builds on previous successful models with refinements to more accurately describe the weather in northern Europe. The implementation of the variation of the MacCready setting is discussed. Methods for generating efficient trajectories are evaluated and recommendations are made regarding implementation.
Description: This article was published in the International Journal of Automation and Computing [© Springer Verlag and the Institute of Automation, Chinese Academy of Sciences ]. The definitive version is available at: http://link.springer.com/article/10.1007/s11633-012-0641-5
Version: Accepted for publication
DOI: 0.1007/s11633-012-0641-5
URI: https://dspace.lboro.ac.uk/2134/11139
Publisher Link: http://link.springer.com/article/10.1007/s11633-012-0641-5
ISSN: 1476-8186
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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