On the selection of calculable residual generators for UAV fault diagnosis

Georgios Zogopoulos Papaliakos; Kostas J. Kyriakopoulos

doi:10.1109/MED.2016.7536003

On the selection of calculable residual generators for UAV fault diagnosis

Georgios Zogopoulos Papaliakos, Kostas J. Kyriakopoulos

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	24th Mediterranean Conference on Control and Automation, MED 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	396-401
Number of pages	6
ISBN (Electronic)	9781467383455
DOIs	https://doi.org/10.1109/MED.2016.7536003
State	Published - Aug 5 2016
Event	24th Mediterranean Conference on Control and Automation, MED 2016 - Athens, Greece Duration: Jun 21 2016 → Jun 24 2016

Publication series

Name	24th Mediterranean Conference on Control and Automation, MED 2016

Other

Other	24th Mediterranean Conference on Control and Automation, MED 2016
Country/Territory	Greece
City	Athens
Period	6/21/16 → 6/24/16

ASJC Scopus subject areas

Control and Systems Engineering
Control and Optimization
Modeling and Simulation

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10.1109/MED.2016.7536003

Cite this

Papaliakos, G. Z., & Kyriakopoulos, K. J. (2016). On the selection of calculable residual generators for UAV fault diagnosis. In 24th Mediterranean Conference on Control and Automation, MED 2016 (pp. 396-401). Article 7536003 (24th Mediterranean Conference on Control and Automation, MED 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED.2016.7536003

On the selection of calculable residual generators for UAV fault diagnosis. / Papaliakos, Georgios Zogopoulos; Kyriakopoulos, Kostas J.
24th Mediterranean Conference on Control and Automation, MED 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 396-401 7536003 (24th Mediterranean Conference on Control and Automation, MED 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Papaliakos, GZ & Kyriakopoulos, KJ 2016, On the selection of calculable residual generators for UAV fault diagnosis. in 24th Mediterranean Conference on Control and Automation, MED 2016., 7536003, 24th Mediterranean Conference on Control and Automation, MED 2016, Institute of Electrical and Electronics Engineers Inc., pp. 396-401, 24th Mediterranean Conference on Control and Automation, MED 2016, Athens, Greece, 6/21/16. https://doi.org/10.1109/MED.2016.7536003

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On the selection of calculable residual generators for UAV fault diagnosis

Abstract

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