Fault detection in flight control systems via innovation sequence of Kalman filter


Hajiyev C., Caliskan F.

UKACC International Conference on Control 98, Swansea, Birleşik Krallık, 1 - 04 Eylül 1998, ss.1528-1533 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1049/cp:19980456
  • Basıldığı Şehir: Swansea
  • Basıldığı Ülke: Birleşik Krallık
  • Sayfa Sayıları: ss.1528-1533
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In this paper, a real-time approach to detect the faults affecting the covariance matrix of the Kalman filter innovation sequence is presented. The ratio of two quadratic forms of which matrices are theoretic and selected covariance matrices, as monitoring statistics, is used. The arguments of the optimal quadratic form that maximize the above statistics are determined to detect faults in the sensors rapidly. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of various sensor faults affecting the mean and covariance matrix is examined.