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Communication Dans Un Congrès Année : 2011

Fault detection improving by extended Kalman filter adjustment for oscillatory failure case in aircrafts

Denis Efimov
Pascal Simon
  • Fonction : Auteur

Résumé

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.
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Dates et versions

hal-00609767 , version 1 (20-07-2011)

Identifiants

  • HAL Id : hal-00609767 , version 1

Citer

Denis Efimov, Ali Zolghadri, Pascal Simon. Fault detection improving by extended Kalman filter adjustment for oscillatory failure case in aircrafts. 4TH EUROPEAN CONFERENCE FOR AEROSPACE SCIENCES (EUCASS), 2011, Jul 2011, St Petersburg, Russia. ⟨hal-00609767⟩
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