Fault Detection and Isolation of Aircraft Air Data/Inertial system

Denis Berdjag (1) , Jérome Cieslak (2) , Ali Zolghadri (2)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 IMS - Laboratoire de l'intégration, du matériau au système

A method for failure detection and isolation (FDI) for redundant aircraft sensors is presented. The outputs of the concerned sensors are involved in the computation of §ight control laws, and the objective is to eliminate any fault before propagation in the control loop when selecting a unique §ight parameter among a set (generally, three) of redundant measurements. The particular case of an oscillatory failure is investigated. The proposed method allows an accurate FDI of erroneous sensor and computes a consolidated parameter based on the fusion of data from remaining valid sensors. The bene¦ts of the presented method are to enhance the data fusion process with FDI techniques which improve the performance of the fusion when only few sources (less than three) are initially valid.

Mots clés: Fault diagnossi; data fusion; sensor fault

Domaines: Automatique

Denis Berdjag, Jérome Cieslak, Ali Zolghadri. Fault Detection and Isolation of Aircraft Air Data/Inertial system. EUCASS Proceedings Series - Advances in AeroSpace Sciences, 2013, 6, pp.317-332. ⟨10.1051/eucass/201306317⟩. ⟨hal-00913429⟩