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

摘要

This paper address the issue of structural change, caused by ice accretion, onudUAVs by utilising a Neyman Pearson (NP) based statistical change detection approach, forudthe identi cation of structural changes of xed wing UAV airfoils. A structural analysis isudperformed on the nonlinear aircraft system and residuals are generated, where a generalisedudlikelihood ratio test is applied to detect faults. Numerical simulations demonstrate a robustuddetection with adequate balance between false alarm rate and sensitivity.