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Unmanned aerial vehicle control costs mirror bird behaviour when soaring close to buildings
Author(s) -
Ana Guerra-Langan,
Sergio A. Araujo-Estrada,
Shane P. Windsor
Publication year - 2020
Publication title -
international journal of micro air vehicles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 21
eISSN - 1756-8307
pISSN - 1756-8293
DOI - 10.1177/1756829320941005
Subject(s) - lift (data mining) , environmental science , aerospace engineering , wind speed , throttle , orographic lift , clear air turbulence , wing , aeronautics , marine engineering , meteorology , turbulence , engineering , automotive engineering , computer science , geography , precipitation , data mining
Small unmanned aerial vehicles (SUAVs) are suitable for many low-altitude operations in urban environments due to their manoeuvrability; however, their flight performance is limited by their on-board energy storage and their ability to cope with high levels of turbulence. Birds exploit the atmospheric boundary layer in urban environments, reducing their energetic flight costs by using orographic lift generated by buildings. This behaviour could be mimicked by fixed-wing SUAVs to overcome their energy limitations if flight control can be maintained in the increased turbulence present in these conditions. Here, the control effort required and energetic benefits for a SUAV flying parallel to buildings whilst using orographic lift was investigated. A flight dynamics and control model was developed for a powered SUAV and used to simulate flight control performance in different turbulent wind conditions. It was found that the control effort required decreased with increasing altitude and that the mean throttle required increased with greater radial distance to the buildings. However, the simulations showed that flying close to the buildings in strong wind speeds increased the risk of collision. Overall, the results suggested that a strategy of flying directly over the front corner of the buildings appears to minimise the control effort required for a given level of orographic lift, a strategy that mirrors the behaviour of gulls in high wind speeds.

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