Volume 6, 2013Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics
|Page(s)||393 - 406|
|Section||Fault detection and control|
|Published online||02 December 2013|
Improving fault detection by extended kalman filter adjustment for oscillatory failure case in aircrafts
Automatic Control Group IMS-lab, University of Bordeaux 351 Cours de la Libération, Talence 33405, France
The problem of model-based fault detection is studied with application of the Kalman filter for residual generation. The filter has two important incoming parameters, the state noise and the output noise covariance matrices, which tuning is analyzed in order to optimize the fault detection performance. The problem is formulated through an appropriate optimization criteria and applied to oscillatory failure case detection in aircraft control surfaces. The results of simulation illustrate efficiency of the proposed technique.
© Owned by the authors, published by EDP Sciences, 2013
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