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Offline neural network based fault tolerant control for vertical tail damaged aircraft

This paper investigates the offline neural network based-fault tolerant control for an aircraft that suffers vertical-tail damage. First, the damaged model of the aircraft is obtained, and the external disturbance is estimated by a disturbance observer then, an optimal control scheme is proposed to...

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Main Authors: Amin Ziaei, Hamed KharratI, Mina Salim, Ali Farzamnia
Format: Proceedings
Language:English
English
Published: IEEE 2021
Subjects:
QA1-43 General
TL500-777 Aeronautics. Aeronautical engineering
Online Access:https://eprints.ums.edu.my/id/eprint/31223/3/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31223/2/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft.pdf
https://eprints.ums.edu.my/id/eprint/31223/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105019389&doi=10.1109%2fICCIA52082.2021.9403566&partnerID=40&md5=f4c136835799f278a66f4714ce00c96f
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spelling my.ums.eprints.312232021-11-24T09:12:24Z https://eprints.ums.edu.my/id/eprint/31223/ Offline neural network based fault tolerant control for vertical tail damaged aircraft Amin Ziaei Hamed KharratI Mina Salim Ali Farzamnia QA1-43 General TL500-777 Aeronautics. Aeronautical engineering This paper investigates the offline neural network based-fault tolerant control for an aircraft that suffers vertical-tail damage. First, the damaged model of the aircraft is obtained, and the external disturbance is estimated by a disturbance observer then, an optimal control scheme is proposed to control the aircraft in nominal condition. This optimal control scheme is developed into faulty condition by the offline neural networks. The simulation results show the effectiveness of the proposed method in comparison to the existing methods in the literature. Key Words—fault tolerant control, vertical tail damage, neural networks, linear quadratic regulator, offline learning. IEEE 2021-04-16 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31223/3/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft-ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31223/2/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft.pdf Amin Ziaei and Hamed KharratI and Mina Salim and Ali Farzamnia (2021) Offline neural network based fault tolerant control for vertical tail damaged aircraft. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105019389&doi=10.1109%2fICCIA52082.2021.9403566&partnerID=40&md5=f4c136835799f278a66f4714ce00c96f
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA1-43 General
TL500-777 Aeronautics. Aeronautical engineering
spellingShingle QA1-43 General
TL500-777 Aeronautics. Aeronautical engineering
Amin Ziaei
Hamed KharratI
Mina Salim
Ali Farzamnia
Offline neural network based fault tolerant control for vertical tail damaged aircraft
description This paper investigates the offline neural network based-fault tolerant control for an aircraft that suffers vertical-tail damage. First, the damaged model of the aircraft is obtained, and the external disturbance is estimated by a disturbance observer then, an optimal control scheme is proposed to control the aircraft in nominal condition. This optimal control scheme is developed into faulty condition by the offline neural networks. The simulation results show the effectiveness of the proposed method in comparison to the existing methods in the literature. Key Words—fault tolerant control, vertical tail damage, neural networks, linear quadratic regulator, offline learning.
format Proceedings
author Amin Ziaei
Hamed KharratI
Mina Salim
Ali Farzamnia
author_facet Amin Ziaei
Hamed KharratI
Mina Salim
Ali Farzamnia
author_sort Amin Ziaei
title Offline neural network based fault tolerant control for vertical tail damaged aircraft
title_short Offline neural network based fault tolerant control for vertical tail damaged aircraft
title_full Offline neural network based fault tolerant control for vertical tail damaged aircraft
title_fullStr Offline neural network based fault tolerant control for vertical tail damaged aircraft
title_full_unstemmed Offline neural network based fault tolerant control for vertical tail damaged aircraft
title_sort offline neural network based fault tolerant control for vertical tail damaged aircraft
publisher IEEE
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/31223/3/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31223/2/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft.pdf
https://eprints.ums.edu.my/id/eprint/31223/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105019389&doi=10.1109%2fICCIA52082.2021.9403566&partnerID=40&md5=f4c136835799f278a66f4714ce00c96f
_version_ 1760230866892619776
score 13.211869

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