Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small Unmanned Aircraft
Journal article
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http://hdl.handle.net/11250/2372873Utgivelsesdato
2015Metadata
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Sammendrag
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 identi cation of structural changes of xed 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.