Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft

Amin Ziaei; Hamed Kharrati; Mina Salim; Ali Farzamnia

doi:10.1109/ICCIA52082.2021.9403566

Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft

Amin Ziaei, Hamed Kharrati, Mina Salim, Ali Farzamnia

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

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	9781665403504
ISBN (Print)	9781665430012
DOIs	https://doi.org/10.1109/ICCIA52082.2021.9403566
Publication status	Published - 16 Apr 2021
Externally published	Yes
Event	7th International Conference on Control, Instrumentation and Automation, - Tabriz, Iran, Islamic Republic of Duration: 23 Feb 2021 → 24 Feb 2021 Conference number: 7

Conference

Conference	7th International Conference on Control, Instrumentation and Automation,
Abbreviated title	ICCIA 2021
Country/Territory	Iran, Islamic Republic of
City	Tabriz
Period	23/02/21 → 24/02/21

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Cite this

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title = "Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft",

abstract = "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.",

keywords = "fault tolerant control, linear quadratic regulator, neural networks, offline learning, vertical tail damage",

author = "Amin Ziaei and Hamed Kharrati and Mina Salim and Ali Farzamnia",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th International Conference on Control, Instrumentation and Automation,, ICCIA 2021 ; Conference date: 23-02-2021 Through 24-02-2021",

year = "2021",

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doi = "10.1109/ICCIA52082.2021.9403566",

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booktitle = "2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ziaei, A, Kharrati, H, Salim, M & Farzamnia, A 2021, Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft. in 2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021., 9403566, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Control, Instrumentation and Automation, Tabriz, Iran, Islamic Republic of, 23/02/21. https://doi.org/10.1109/ICCIA52082.2021.9403566

Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft. / Ziaei, Amin; Kharrati, Hamed; Salim, Mina et al.

2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9403566.

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

TY - GEN

T1 - Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft

AU - Ziaei, Amin

AU - Kharrati, Hamed

AU - Salim, Mina

AU - Farzamnia, Ali

N1 - Conference code: 7

PY - 2021/4/16

Y1 - 2021/4/16

N2 - 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.

AB - 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.

KW - fault tolerant control

KW - linear quadratic regulator

KW - neural networks

KW - offline learning

KW - vertical tail damage

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U2 - 10.1109/ICCIA52082.2021.9403566

DO - 10.1109/ICCIA52082.2021.9403566

M3 - Conference contribution

AN - SCOPUS:85105019389

SN - 9781665430012

BT - 2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Control, Instrumentation and Automation,

Y2 - 23 February 2021 through 24 February 2021

ER -

Offline Neural Network Based-Fault Tolerant Control for Vertical Tail Damaged Aircraft

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