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Title: Landing site reachability in a forced landing of unmanned aircraft in wind
Authors: Coombes, Matthew
Chen, Wen-Hua
Render, Peter M.
Keywords: Contingency management
Autonomous safety function
Unmanned aircraft systems
Reachability analysis
Forced landing
Issue Date: 2017
Publisher: © American Institute of Aeronautics and Astronautics
Citation: COOMBES, M., CHEN, W-H. and RENDER, P.M., 2017. Landing site reachability in a forced landing of unmanned aircraft in wind. Journal of Aircraft, 54(4), pp.1415-1427.
Abstract: Autonomous contingency management systems, such as a forced landing system which reacts appropriately to an engine failure is important for the safe operation of Unmanned Aircraft Systems (UAS). This paper details a method to ascertain the reachability of any possible emergency landing site for a forced landing in steady uniform wind conditions. With knowledge of the aircraft’s state, such as speed heading location and orientation of a landing site, a method to calculate a minimum height loss path is developed based on aircraft glide performance. Wind direction and speed are taken into account using a trochoidal approach by defining the minimum height loss turn path. To facilitate real-time implementation, simplified gliding equations are developed without accuracy loss. The reachability of each site can be calculated, as well as how much safety margin an aircraft would have. This method is generic and could also provide decision support for human pilots in forced landing situations. Two types of aircraft Airbus A320-400 and the Cessna 172 have been investigated to demonstrate the usefulness of the method, using Monte Carlo simulations in a synthetic X-Plane R simulation environment, in order to demonstrate the performance and effectiveness of the proposed approaches.
Description: This article was published in the Journal of Aircraft [© American Institute of Aeronautics and Astronautics] and the definitive version is available at: http://dx.doi.org/10.2514/1.C033856.
Sponsor: This work was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC), Autonomous and Intelligent Systems programme under the grant number EP/J011525/1 with BAE Systems as the leading industrial partner.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/22827
Publisher Link: http://dx.doi.org/10.2514/1.C033856
ISSN: 1533-3868
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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