Fault detection in flight control systems based on the generalized variance of the Kalman filter innovation sequence


Hacızade C., Çalışkan F.

Proceedings of the 1999 American Control Conference (99ACC), San Diego, CA, USA, 2 - 04 June 1999, vol.1, pp.109-113 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: San Diego, CA, USA
  • Page Numbers: pp.109-113
  • Istanbul Technical University Affiliated: Yes

Abstract

In this paper, for multidimensional dynamic systems a sensor fault detection algorithm based on the confidence interval of the generalized variance of the Kalman filter innovation sequence, is presented. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of the fault in the air velocity sensor affecting the covariance matrix of the Kalman filter is examined.