Generalized Rayleigh quotient based sensor/actuator fault detection

Chingiz Hajiyev*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

A new approach based on the generalized Rayleigh quotient for testing the innovation covariance of the Kalman filter is proposed. The optimization process of testing quality is reduced to the classical problem of maximization of the generalized Rayleigh quotient. The proposed fault detection algorithm is reduced to the comparison of the generalized Rayleigh quotient, which is calculated using representative sample and found quotient's bounds, and making a decision on the basis of the presented decision rule. In the simulations, the longitudinal and lateral dynamics of the F-16 aircraft model are considered, and the detection procedure of sensor/actuator faults, which affect the innovation covariance, is examined.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012
YayınlayanIFAC Secretariat
Sayfalar174-179
Sayfa sayısı6
BaskıPART 1
ISBN (Basılı)9783902823090
DOI'lar
Yayın durumuYayınlandı - 2012
Etkinlik8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012 - Mexico City, Mexico
Süre: 29 Ağu 201231 Ağu 2012

Yayın serisi

AdıIFAC Proceedings Volumes (IFAC-PapersOnline)
SayıPART 1
Hacim8
ISSN (Basılı)1474-6670

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???event.eventtypes.event.conference???8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012
Ülke/BölgeMexico
ŞehirMexico City
Periyot29/08/1231/08/12

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