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


Hajiyev C., Caliskan F.

UKACC International Conference on Control 98, Swansea, England, 1 - 04 September 1998, pp.1528-1533 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1049/cp:19980456
  • City: Swansea
  • Country: England
  • Page Numbers: pp.1528-1533

Abstract

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.