Fault detection using differential flatness in flight guidance systems

Wen Chi Lu (1) , Rabah Fellouah (2) , Geanina Andrei (1) , Nan Zhang (1, 3) , Felix Mora-Camino (2) , Andrei Doncescu (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
3 LAAS - Laboratoire d'analyse et d'architecture des systèmes

In this paper, flight guidance dynamics are shown to be implicit differentially flat with respect to the inertial position of an aircraft. This proves the existence of a set of relations between these flat outputs and the state variables representative of flight guidance dynamics and between these flat outputs and the basic inputs to flight guidance dynamics. A neural network is introduced to obtain, from the actual trajectory, nominal flight parameters which can be compared with actual values to detect abnormal behaviour.

Mots clés: aerospace computing; aircraft; neural nets

Domaines: Sciences de l'ingénieur [physics]; Automatique / Robotique

Wen Chi Lu, Rabah Fellouah, Geanina Andrei, Nan Zhang, Felix Mora-Camino, et al.. Fault detection using differential flatness in flight guidance systems. CISIS 2007, 1st International Conference on Complex, Intelligent and Software Intensive Systems, Apr 2007, Vienna, Austria. pp 155-159, ⟨10.1109/CISIS.2007.24⟩. ⟨hal-00938151⟩