Fault detection and isolation of an aircraft using set-valued observers

Paulo Rosa, Carlos Silvestre, Jeff S. Shamma, Michael Athans

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

6 Scopus citations

Abstract

This paper describes an application of a new fault detection and isolation (FDI) technique based on set-valued observers (SVOs) to a linear parameter varying (LPV) longitudinal aircraft dynamic model. The FDI strategy adopted herein computes and uses the set-valued estimates of the SVOs to eliminate models of the plant that are not compatible with the set of observations provided by the aircraft sensor suite and actuation data. The design of the SVOs takes into account model uncertainty and disturbances, thus avoiding false alarms due to such perturbations. The behavior of the proposed solution is assessed in simulation, by deliberately generating hard and soft sensor/actuator faults. The results show that the faults take, in general, only a few iterations to be detected and isolated, therefore paving the way for the use of the proposed methodology in practical applications.

Original languageEnglish (US)
Title of host publication18th IFAC Symposium on Automatic Control in Aerospace, ACA 2010 - Proceedings
PublisherIFAC Secretariat
Pages398-403
Number of pages6
EditionPART 1
ISBN (Print)9783902661968
StatePublished - Jan 1 2010
Event18th IFAC Symposium on Automatic Control in Aerospace, ACA 2010 - Nara, Japan
Duration: Sep 6 2010Sep 10 2010

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume18
ISSN (Print)1474-6670

Other

Other18th IFAC Symposium on Automatic Control in Aerospace, ACA 2010
CountryJapan
CityNara
Period09/6/1009/10/10

Keywords

  • Fault detection and isolation
  • Linear time-varying systems
  • Uncertain linear systems

ASJC Scopus subject areas

  • Control and Systems Engineering

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