Simulation on UAV-civil aviation aircraft collision prediction model

The airspace has become increasingly congested with the ubiquitous presence of UAVs. Now, not only do pilots need to maintain a safe distance between other manned aircraft, they also have to be wary of UAVs within its flight path. Although there are regulations put in place to keep these UAVs out o...

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Main Author: Koay, Lynette Jie Ting
Other Authors: Low Kin Huat
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74440
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-744402023-03-04T18:29:09Z Simulation on UAV-civil aviation aircraft collision prediction model Koay, Lynette Jie Ting Low Kin Huat School of Mechanical and Aerospace Engineering Civil Aviation Authority of Singapore Air Traffic Management Research Institute DRNTU::Engineering The airspace has become increasingly congested with the ubiquitous presence of UAVs. Now, not only do pilots need to maintain a safe distance between other manned aircraft, they also have to be wary of UAVs within its flight path. Although there are regulations put in place to keep these UAVs out of prohibited airspace zones, it is possible that these UAVs may encroach into restricted areas such as within the aerodrome and pose a potential risk of collision to aircrafts and threaten their safety. The objective of this study is to investigate the probability of UAS-manned aircraft collision within 5km of an aerodrome with the use of Monte Carlo Simulation approach. The level of threat that the intruder UAS pose to manned aircraft was assessed based on trajectory prediction of the UAS using its initial reported incursion location and heading. Simulations were conducted for numerous UAS breaching scenarios with a fixed flight plan of a single aircraft under realistic flight conditions on the two runways in Singapore Changi Airport. Contour plots were constructed, using the gathered probability of collision obtained for each take off and landing operation. Results will then be utilized to develop a collision alerting logic to advise pilots to undertake avoidance manoeuvre (such as climb or go around) when the determined level of threat posed by intruder UAS exceeds the safety threshold. Bachelor of Engineering (Aerospace Engineering) 2018-05-18T01:07:46Z 2018-05-18T01:07:46Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74440 en Nanyang Technological University 101p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Koay, Lynette Jie Ting
Simulation on UAV-civil aviation aircraft collision prediction model
description The airspace has become increasingly congested with the ubiquitous presence of UAVs. Now, not only do pilots need to maintain a safe distance between other manned aircraft, they also have to be wary of UAVs within its flight path. Although there are regulations put in place to keep these UAVs out of prohibited airspace zones, it is possible that these UAVs may encroach into restricted areas such as within the aerodrome and pose a potential risk of collision to aircrafts and threaten their safety. The objective of this study is to investigate the probability of UAS-manned aircraft collision within 5km of an aerodrome with the use of Monte Carlo Simulation approach. The level of threat that the intruder UAS pose to manned aircraft was assessed based on trajectory prediction of the UAS using its initial reported incursion location and heading. Simulations were conducted for numerous UAS breaching scenarios with a fixed flight plan of a single aircraft under realistic flight conditions on the two runways in Singapore Changi Airport. Contour plots were constructed, using the gathered probability of collision obtained for each take off and landing operation. Results will then be utilized to develop a collision alerting logic to advise pilots to undertake avoidance manoeuvre (such as climb or go around) when the determined level of threat posed by intruder UAS exceeds the safety threshold.
author2 Low Kin Huat
author_facet Low Kin Huat
Koay, Lynette Jie Ting
format Final Year Project
author Koay, Lynette Jie Ting
author_sort Koay, Lynette Jie Ting
title Simulation on UAV-civil aviation aircraft collision prediction model
title_short Simulation on UAV-civil aviation aircraft collision prediction model
title_full Simulation on UAV-civil aviation aircraft collision prediction model
title_fullStr Simulation on UAV-civil aviation aircraft collision prediction model
title_full_unstemmed Simulation on UAV-civil aviation aircraft collision prediction model
title_sort simulation on uav-civil aviation aircraft collision prediction model
publishDate 2018
url http://hdl.handle.net/10356/74440
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