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IFAC-PapersOnLine, 21(48), p. 541-546

DOI: 10.1016/j.ifacol.2015.09.582

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

Journal article published in 2015 by Unmanned Aircraft, Kim Lynge Sorensen, Mogens Blanke ORCID, Tor Arne Johansen
This paper is available in a repository.
This paper is available in a repository.

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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.