Methods of aircraft trajectory optimisation in air combat

We overview methodologies to optimise an aircraft trajectory in a two-player close air combat scenario. In mathematical terms air combat can be considered as a game. However, due to the highly nonlinear equations of motion involved, the use of classical games theory is difficult to implement in a co...

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Main Authors: Nusyirwan, Istas Fahrurrazi, Bil, Cees
Format: Article
Published: Australian Mathematical Society Inc. 2007
Subjects:
Online Access:http://eprints.utm.my/6790/
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author Nusyirwan, Istas Fahrurrazi
Bil, Cees
author_facet Nusyirwan, Istas Fahrurrazi
Bil, Cees
author_sort Nusyirwan, Istas Fahrurrazi
building UTeM Institutional Repository
collection Online Access
description We overview methodologies to optimise an aircraft trajectory in a two-player close air combat scenario. In mathematical terms air combat can be considered as a game. However, due to the highly nonlinear equations of motion involved, the use of classical games theory is difficult to implement in a computer simulation. The search for the saddle point of the game is difficult and therefore an indirect approach is required to search for the best trajectory. At each instance, one player is given the role of evader and the other the pursuer. The evader must find the trajectory that avoids or maximises the time to interception, while the pursuer must find a trajectory that achieves or minimises the time to intercept the evader. An algorithm has been developed and implemented using Evolutionary Programming. Simulations show that the algorithm is able to find good individuals (or solutions) in a limited time.
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publishDate 2007
publisher Australian Mathematical Society Inc.
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spelling utm-67902017-10-22T06:04:16Z http://eprints.utm.my/6790/ Methods of aircraft trajectory optimisation in air combat Nusyirwan, Istas Fahrurrazi Bil, Cees TJ Mechanical engineering and machinery We overview methodologies to optimise an aircraft trajectory in a two-player close air combat scenario. In mathematical terms air combat can be considered as a game. However, due to the highly nonlinear equations of motion involved, the use of classical games theory is difficult to implement in a computer simulation. The search for the saddle point of the game is difficult and therefore an indirect approach is required to search for the best trajectory. At each instance, one player is given the role of evader and the other the pursuer. The evader must find the trajectory that avoids or maximises the time to interception, while the pursuer must find a trajectory that achieves or minimises the time to intercept the evader. An algorithm has been developed and implemented using Evolutionary Programming. Simulations show that the algorithm is able to find good individuals (or solutions) in a limited time. Australian Mathematical Society Inc. 2007-04-09 Article PeerReviewed Nusyirwan, Istas Fahrurrazi and Bil, Cees (2007) Methods of aircraft trajectory optimisation in air combat. Australian and New Zealand Industrial and Applied Mathematics Journal, 47 . C649-C664. ISSN 1446-8735 http://anziamj.austms.org.au
spellingShingle TJ Mechanical engineering and machinery
Nusyirwan, Istas Fahrurrazi
Bil, Cees
Methods of aircraft trajectory optimisation in air combat
title Methods of aircraft trajectory optimisation in air combat
title_full Methods of aircraft trajectory optimisation in air combat
title_fullStr Methods of aircraft trajectory optimisation in air combat
title_full_unstemmed Methods of aircraft trajectory optimisation in air combat
title_short Methods of aircraft trajectory optimisation in air combat
title_sort methods of aircraft trajectory optimisation in air combat
topic TJ Mechanical engineering and machinery
url http://eprints.utm.my/6790/
http://eprints.utm.my/6790/