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
EventIFAC Safeprocess'15 - Paris, France
Duration: 2 Sep 20154 Sep 2015

Conference

ConferenceIFAC Safeprocess'15
Country/TerritoryFrance
CityParis
Period02/09/201504/09/2015

Keywords

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

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