Estimation of actuator fault parameters in a nonlinear boeing 747 model using a linear two-stage Kalman filter

Fikret Caliskan*, Youmin Zhang, N. Eva Wu, J. Y. Shin

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper, an adaptive two-stage linear Kalman filtering algorithm (Wu, Zhang, and Zhou, 2000) is used to estimate the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft. Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators. Pseudo random excitation inputs are used to help distinguish partial loss and stuck faults. The partial loss and stuck faults in the stabilizer are identified successfully.

Original languageEnglish
Title of host publicationSAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings
PublisherIFAC Secretariat
Pages1408-1413
Number of pages6
ISBN (Print)9783902661463
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

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

Keywords

  • Aircraft
  • Estimation
  • Fault detection
  • Fault identification
  • Fault isolation
  • Kalman filter

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