Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft

Deghat, M; Lampiri, E; Bishop, AN

Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft

Deghat, M Lampiri, E Bishop, AN

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Publication Type:: Conference Proceeding
Citation:: 2016 Australian Control Conference, AuCC 2016, 2017, pp. 317 - 322
Issue Date:: 2017-03-01

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Field	Value	Language
dc.contributor.author	Deghat, M	en_US
dc.contributor.author	Lampiri, E	en_US
dc.contributor.author	Bishop, AN https://orcid.org/0000-0001-8581-8562	en_US
dc.date.issued	2017-03-01	en_US
dc.identifier.citation	2016 Australian Control Conference, AuCC 2016, 2017, pp. 317 - 322	en_US
dc.identifier.isbn	9781922107909	en_US
dc.identifier.uri	http://hdl.handle.net/10453/103560
dc.description.abstract	© 2016 Engineers Australia. This paper proposes a fault detection algorithm for the roll dynamic model of a generic delta-wing aircraft. It is assumed that the system model has some noise/uncertainties and the measured roll angle and roll rate used by the control law are faulty/under attack. The proposed fault detection algorithm employs a fault detection estimator and adaptive thresholds to detect the occurrence of a fault in the sensor measurements. Simulation results are presented to show the performance of the proposed algorithm.	en_US
dc.relation.ispartof	2016 Australian Control Conference, AuCC 2016	en_US
dc.relation.isbasedon	10.1109/AUCC.2016.7868209	en_US
dc.title	Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 Engineers Australia. This paper proposes a fault detection algorithm for the roll dynamic model of a generic delta-wing aircraft. It is assumed that the system model has some noise/uncertainties and the measured roll angle and roll rate used by the control law are faulty/under attack. The proposed fault detection algorithm employs a fault detection estimator and adaptive thresholds to detect the occurrence of a fault in the sensor measurements. Simulation results are presented to show the performance of the proposed algorithm.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/103560