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Detection of flight plan divergence in the horizontal plane


G. Fourlas, J. Lygeros

AIAA Guidance, Navigation and Control Conference and Exhibit, Keystone, Colorado

A methodology and algorithms for the detection of divergences of aircraft from their flight plans on the horizontal plane are presented. Deviations from the flight plan are often the result human error, such as miscommunication between the pilot and the air traffic controller (ATC), situational awareness errors of the ATC, discrepancies between the mental picture of the ATC and his/her decision support tools, etc. The goal is to detect divergences due to these factors as early as possible and provide a timely warning. The difficulty is distinguishing these “important” divergences from generic deviations, due for example to local wind conditions. Here we develop algorithms for addressing this problem, inspired by methods from fault detection and isolation. The algorithms are tested on a detailed simulation of a Boeing 763-300 flying in a wind field with realistic spatio-temporal correlation structure.


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% Autogenerated BibTeX entry
@InProceedings { FouLyg:2006:IFA_2584,
    author={G. Fourlas and J. Lygeros},
    title={{Detection of flight plan divergence in the horizontal plane}},
    booktitle={AIAA Guidance, Navigation and Control Conference and
    address={Keystone, Colorado},
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