Autonomous mission management for UAVs using soar intelligent agents
Paolo Gunetti,
Haydn Thompson and
Tony Dodd
International Journal of Systems Science, 2013, vol. 44, issue 5, 831-852
Abstract:
State-of-the-art unmanned aerial vehicles (UAVs) are typically able to autonomously execute a pre-planned mission. However, UAVs usually fly in a very dynamic environment which requires dynamic changes to the flight plan; this mission management activity is usually tasked to human supervision. Within this article, a software system that autonomously accomplishes the mission management task for a UAV will be proposed. The system is based on a set of theoretical concepts which allow the description of a flight plan and implemented using a combination of Soar intelligent agents and traditional control techniques. The system is capable of automatically generating and then executing an entire flight plan after being assigned a set of objectives. This article thoroughly describes all system components and then presents the results of tests that were executed using a realistic simulation environment.
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:44:y:2013:i:5:p:831-852
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DOI: 10.1080/00207721.2011.626902
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