A Probabilistic Algorithm for Multi-aircraft Collision Detection and Resolution in 3-D

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This paper presents a real-time algorithm for collision detection, collision avoidance and guidance. Three-dimensional point-mass aircraft models are used. For collision detection, conflict probability is calculated by using the Monte-Carlo Simulation. Time at the closest point of approach(CPA) and distance at CPA are needed to determine the collision probability, being compared to certain threshold values. For collision avoidance, one of possible maneuver options is chosen to minimize the collision probability. For guidance to a designated way-point, proportional navigation guidance law is used. Two scenarios on encounter situation are studied to demonstrate the performance of proposed algorithm.
Publisher
한국항공우주학회
Issue Date
2008-11
Language
English
Citation

INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES , v.9, no.2, pp.1 - 8

ISSN
2093-274X
URI
http://hdl.handle.net/10203/88235
Appears in Collection
AE-Journal Papers(저널논문)
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