Generalized Rayleigh quotient based sensor/actuator fault detection

Chingiz Hajiyev*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012
PublisherIFAC Secretariat
Pages174-179
Number of pages6
EditionPART 1
ISBN (Print)9783902823090
DOIs
Publication statusPublished - 2012
Event8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012 - Mexico City, Mexico
Duration: 29 Aug 201231 Aug 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume8
ISSN (Print)1474-6670

Conference

Conference8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012
Country/TerritoryMexico
CityMexico City
Period29/08/1231/08/12

Keywords

  • Aeronautical applications
  • Fault detection
  • Generalized Rayleigh quotient
  • Kalman filtering
  • Largest eigenvalue
  • Wishart matrix

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