On the selection of calculable residual generators for UAV fault diagnosis

Georgios Zogopoulos Papaliakos, Kostas J. Kyriakopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Structural Analysis is an established method for Fault Detection and Identification (FDI) in large-scale systems, enabling the discovery of Analytical Redundancy Relations (ARRs) which serve as residual generators. However, most techniques used to enumerate ARRs do not specify the matching used to calculate each of those ARRs. This can result in non-implementable or unusable residual generators, in the presence of non-invertibilities in the equations involved or in lack of computational tools. In this paper, we propose a methodology which combines a priori and a posteriori information in order to reduce the time required to find implementable, usable residual generators of minimum cost. The method is applied to a fixed-wing Unmanned Aerial Vehicle (UAV) model.

Original languageEnglish (US)
Title of host publication24th Mediterranean Conference on Control and Automation, MED 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-401
Number of pages6
ISBN (Electronic)9781467383455
DOIs
StatePublished - Aug 5 2016
Event24th Mediterranean Conference on Control and Automation, MED 2016 - Athens, Greece
Duration: Jun 21 2016Jun 24 2016

Publication series

Name24th Mediterranean Conference on Control and Automation, MED 2016

Other

Other24th Mediterranean Conference on Control and Automation, MED 2016
Country/TerritoryGreece
CityAthens
Period6/21/166/24/16

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Modeling and Simulation

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