Actuator fault diagnosis based fuzzy multiple model structure for moving systems

Zhiqiang Zheng; Haiwen Yuan; Hao Yang; Qinghua Yang

doi:10.1109/ICEMI.2009.5274734

Actuator fault diagnosis based fuzzy multiple model structure for moving systems

Zhiqiang Zheng^*
, Haiwen Yuan
, Hao Yang
, Qinghua Yang

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

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

2 Scopus citations

Abstract

In this paper, the fuzzy multiple model scheme is proposed based on a suitable combination of Takagi-Sugeno(T-S) fuzzy model and multiple model technique for actuator failure. The non-linear system is described by T-S fuzzy model. Based on multiple model structure for locally linearized models, an adaptive observer appro-ach is studied. The fuzzy adaptive observer is described by a fuzzy fusion of all locally adaptive observers. We developed an adaptive approach to estimate the unknown parameters on-line, so that the fault can be found when the fuzzy adaptive observer model matches the system and the lock-in-place fault can be estimate accurately. Numerical simulation results on an aircraft example show satisfactory performance of the proposed algorithm.

Original language	English
Title of host publication	ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments
Pages	4899-4902
Number of pages	4
DOIs	https://doi.org/10.1109/ICEMI.2009.5274734
State	Published - 2009
Event	9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 - Beijing, China Duration: 16 Aug 2009 → 19 Aug 2009

Publication series

Name	ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

Conference

Conference	9th International Conference on Electronic Measurement and Instruments, ICEMI 2009
Country/Territory	China
City	Beijing
Period	16/08/09 → 19/08/09

Keywords

Fuzzy adaptive observer
Fuzzy multiple model
T-S fuzzy model

Access to Document

10.1109/ICEMI.2009.5274734

Cite this

Zheng, Z., Yuan, H., Yang, H., & Yang, Q. (2009). Actuator fault diagnosis based fuzzy multiple model structure for moving systems. In ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments (pp. 4899-4902). Article 5274734 (ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments). https://doi.org/10.1109/ICEMI.2009.5274734

@inproceedings{5b6def2aaa4a457483e6bbef151f6777,

title = "Actuator fault diagnosis based fuzzy multiple model structure for moving systems",

abstract = "In this paper, the fuzzy multiple model scheme is proposed based on a suitable combination of Takagi-Sugeno(T-S) fuzzy model and multiple model technique for actuator failure. The non-linear system is described by T-S fuzzy model. Based on multiple model structure for locally linearized models, an adaptive observer appro-ach is studied. The fuzzy adaptive observer is described by a fuzzy fusion of all locally adaptive observers. We developed an adaptive approach to estimate the unknown parameters on-line, so that the fault can be found when the fuzzy adaptive observer model matches the system and the lock-in-place fault can be estimate accurately. Numerical simulation results on an aircraft example show satisfactory performance of the proposed algorithm.",

keywords = "Fuzzy adaptive observer, Fuzzy multiple model, T-S fuzzy model",

author = "Zhiqiang Zheng and Haiwen Yuan and Hao Yang and Qinghua Yang",

year = "2009",

doi = "10.1109/ICEMI.2009.5274734",

language = "英语",

isbn = "9781424438624",

series = "ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments",

pages = "4899--4902",

booktitle = "ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments",

note = "9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 ; Conference date: 16-08-2009 Through 19-08-2009",

}

Zheng, Z, Yuan, H, Yang, H & Yang, Q 2009, Actuator fault diagnosis based fuzzy multiple model structure for moving systems. in ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments., 5274734, ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments, pp. 4899-4902, 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, Beijing, China, 16/08/09. https://doi.org/10.1109/ICEMI.2009.5274734

Actuator fault diagnosis based fuzzy multiple model structure for moving systems. / Zheng, Zhiqiang; Yuan, Haiwen; Yang, Hao et al.
ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments. 2009. p. 4899-4902 5274734 (ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments).

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

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AU - Zheng, Zhiqiang

AU - Yuan, Haiwen

AU - Yang, Hao

AU - Yang, Qinghua

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N2 - In this paper, the fuzzy multiple model scheme is proposed based on a suitable combination of Takagi-Sugeno(T-S) fuzzy model and multiple model technique for actuator failure. The non-linear system is described by T-S fuzzy model. Based on multiple model structure for locally linearized models, an adaptive observer appro-ach is studied. The fuzzy adaptive observer is described by a fuzzy fusion of all locally adaptive observers. We developed an adaptive approach to estimate the unknown parameters on-line, so that the fault can be found when the fuzzy adaptive observer model matches the system and the lock-in-place fault can be estimate accurately. Numerical simulation results on an aircraft example show satisfactory performance of the proposed algorithm.

AB - In this paper, the fuzzy multiple model scheme is proposed based on a suitable combination of Takagi-Sugeno(T-S) fuzzy model and multiple model technique for actuator failure. The non-linear system is described by T-S fuzzy model. Based on multiple model structure for locally linearized models, an adaptive observer appro-ach is studied. The fuzzy adaptive observer is described by a fuzzy fusion of all locally adaptive observers. We developed an adaptive approach to estimate the unknown parameters on-line, so that the fault can be found when the fuzzy adaptive observer model matches the system and the lock-in-place fault can be estimate accurately. Numerical simulation results on an aircraft example show satisfactory performance of the proposed algorithm.

KW - Fuzzy adaptive observer

KW - Fuzzy multiple model

KW - T-S fuzzy model

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DO - 10.1109/ICEMI.2009.5274734

M3 - 会议稿件

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SN - 9781424438624

T3 - ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

SP - 4899

EP - 4902

BT - ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

T2 - 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009

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ER -

Zheng Z, Yuan H, Yang H, Yang Q. Actuator fault diagnosis based fuzzy multiple model structure for moving systems. In ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments. 2009. p. 4899-4902. 5274734. (ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments). doi: 10.1109/ICEMI.2009.5274734

Actuator fault diagnosis based fuzzy multiple model structure for moving systems

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