Model-based fault diagnosis method for gyro

Gan Hua Li; Jian Cheng Li; Heng Hai Fan; Ya Ni Cao; Min Qiang Xu; Jun Wei; Min Liang; Li Dong

doi:10.1109/ITNEC.2019.8729492

Model-based fault diagnosis method for gyro

Gan Hua Li^*
, Jian Cheng Li
, Heng Hai Fan
, Ya Ni Cao
, Min Qiang Xu
, Jun Wei
, Min Liang
, Li Dong

^*Corresponding author for this work

School of Astronautics

Xi'an Satellite Control Center

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

2 Scopus citations

Abstract

In this paper, a model-based fault diagnosis method is investigated for gyro. An adaptive observer is designed to detect the occurrence of gyro fault. And then, the size of fault is estimated accurately according to our designed observer. The simulation on a satellite control system is performed. The results show the effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1004-1007
Number of pages	4
ISBN (Electronic)	9781538662434
DOIs	https://doi.org/10.1109/ITNEC.2019.8729492
State	Published - Mar 2019
Event	3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 - Chengdu, China Duration: 15 Mar 2019 → 17 Mar 2019

Publication series

Name	Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

Conference

Conference	3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
Country/Territory	China
City	Chengdu
Period	15/03/19 → 17/03/19

Keywords

Adaptive observer
Fault estimation
Gyro fault
Kinemics model

Access to Document

10.1109/ITNEC.2019.8729492

Cite this

Li, G. H., Li, J. C., Fan, H. H., Cao, Y. N., Xu, M. Q., Wei, J., Liang, M., & Dong, L. (2019). Model-based fault diagnosis method for gyro. In B. Xu (Ed.), Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 (pp. 1004-1007). Article 8729492 (Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITNEC.2019.8729492

Li, Gan Hua ; Li, Jian Cheng ; Fan, Heng Hai et al. / Model-based fault diagnosis method for gyro. Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1004-1007 (Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019).

@inproceedings{1341a204080e4348a2b76f568ead3399,

title = "Model-based fault diagnosis method for gyro",

abstract = "In this paper, a model-based fault diagnosis method is investigated for gyro. An adaptive observer is designed to detect the occurrence of gyro fault. And then, the size of fault is estimated accurately according to our designed observer. The simulation on a satellite control system is performed. The results show the effectiveness of the proposed method.",

keywords = "Adaptive observer, Fault estimation, Gyro fault, Kinemics model",

author = "Li, \{Gan Hua\} and Li, \{Jian Cheng\} and Fan, \{Heng Hai\} and Cao, \{Ya Ni\} and Xu, \{Min Qiang\} and Jun Wei and Min Liang and Li Dong",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 ; Conference date: 15-03-2019 Through 17-03-2019",

year = "2019",

month = mar,

doi = "10.1109/ITNEC.2019.8729492",

language = "英语",

series = "Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019",

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

pages = "1004--1007",

editor = "Bing Xu",

booktitle = "Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019",

address = "美国",

}

Li, GH, Li, JC, Fan, HH, Cao, YN, Xu, MQ, Wei, J, Liang, M & Dong, L 2019, Model-based fault diagnosis method for gyro. in B Xu (ed.), Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019., 8729492, Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1004-1007, 3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019, Chengdu, China, 15/03/19. https://doi.org/10.1109/ITNEC.2019.8729492

Model-based fault diagnosis method for gyro. / Li, Gan Hua; Li, Jian Cheng; Fan, Heng Hai et al.
Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1004-1007 8729492 (Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019).

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

TY - GEN

T1 - Model-based fault diagnosis method for gyro

AU - Li, Gan Hua

AU - Li, Jian Cheng

AU - Fan, Heng Hai

AU - Cao, Ya Ni

AU - Xu, Min Qiang

AU - Wei, Jun

AU - Liang, Min

AU - Dong, Li

PY - 2019/3

Y1 - 2019/3

N2 - In this paper, a model-based fault diagnosis method is investigated for gyro. An adaptive observer is designed to detect the occurrence of gyro fault. And then, the size of fault is estimated accurately according to our designed observer. The simulation on a satellite control system is performed. The results show the effectiveness of the proposed method.

AB - In this paper, a model-based fault diagnosis method is investigated for gyro. An adaptive observer is designed to detect the occurrence of gyro fault. And then, the size of fault is estimated accurately according to our designed observer. The simulation on a satellite control system is performed. The results show the effectiveness of the proposed method.

KW - Adaptive observer

KW - Fault estimation

KW - Gyro fault

KW - Kinemics model

UR - https://www.scopus.com/pages/publications/85067849870

U2 - 10.1109/ITNEC.2019.8729492

DO - 10.1109/ITNEC.2019.8729492

M3 - 会议稿件

AN - SCOPUS:85067849870

T3 - Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

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BT - Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019

Y2 - 15 March 2019 through 17 March 2019

ER -

Li GH, Li JC, Fan HH, Cao YN, Xu MQ, Wei J et al. Model-based fault diagnosis method for gyro. In Xu B, editor, Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1004-1007. 8729492. (Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019). doi: 10.1109/ITNEC.2019.8729492

Model-based fault diagnosis method for gyro

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