Sensor fault detection in flight control systems based on the Kaiman filter innovation sequence

F. Caliskan*, C. M. Hajiyev

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper, a real-time approach to detect the faults affecting the mean and the covariance matrix of the Kaiman filter innovation sequence is presented. The ratio of two quadratic forms for which the matrices are theoretical 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 the faults in sensors rapidly. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of the faults in pitch gyroscope affecting the mean and the covariance matrix is examined.

Original languageEnglish
Pages (from-to)243-248
Number of pages6
JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume213
Issue number3
DOIs
Publication statusPublished - 1999

Keywords

  • Fault detection and isolation
  • Fault-tolerant aircraft control systems
  • Innovation sequence
  • Kaiman filter

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