Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small Unmanned Aircraft

Kim Lynge Sørensen, Mogens Blanke, Tor Arne Johansen

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    Abstract

    This paper address the issue of structural change, caused by ice accretion, on UAVs by utilising a Neyman Pearson (NP) based statistical change detection approach, for the identification of structural changes of fixed wing UAV airfoils. A structural analysis is performed on the nonlinear aircraft system and residuals are generated, where a generalised likelihood ratio test is applied to detect faults. Numerical simulations demonstrate a robust detection with adequate balance between false alarm rate and sensitivity.
    Original languageEnglish
    Book seriesIFAC-PapersOnLine
    Volume48
    Issue number21
    Pages (from-to)541-546
    ISSN2405-8963
    DOIs
    Publication statusPublished - 2015
    Event9th IFAC Symposium on Fault Detection, Supervision andSafety for Technical Processes - Arts et Métiers ParisTech, Paris, France
    Duration: 2 Sep 20154 Sep 2015
    Conference number: 9
    https://www.sciencedirect.com/journal/ifac-papersonline/vol/48/issue/21

    Conference

    Conference9th IFAC Symposium on Fault Detection, Supervision andSafety for Technical Processes
    Number9
    LocationArts et Métiers ParisTech
    Country/TerritoryFrance
    CityParis
    Period02/09/201504/09/2015
    Internet address

    Keywords

    • Structural Change Detection
    • Aircraft Ice accretion
    • Aircraft Icing Detection
    • UAV
    • Fixed-Wing UAV
    • Statistical Change Detection

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