Disturbance observer based fault diagnosis

Jinya Su; Wen Hua Chen; Baibing Li

doi:10.1109/ChiCC.2014.6897123

Disturbance observer based fault diagnosis

Jinya Su^*, Wen Hua Chen, Baibing Li

^*Corresponding author for this work

Computing Science

Loughborough University

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

14 Citations (Scopus)

Abstract

This paper investigates the differences between disturbance observer techniques and residual generation method in fault diagnosis. We firstly point out the possible limitations of residual based approach compared with fault estimation based approach through sensors fault diagnosis of a linear motor driving system. On the one hand, it may produce a residual insensitive to the fault due to the self-correction feature of the observer. On the other hand, the diagnosis logic of it is complicated and does not work when the observability conditions do not hold. On this basis, the nonlinear disturbance observer is further introduced to perform actuator fault diagnosis for a nonlinear system. Simulation results of a linear motor driving system and a nonlinear missile system illustrate the efficiency of fault estimation based diagnosis approach.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Editors	Shengyuan Xu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	3024-3029
Number of pages	6
ISBN (Electronic)	9789881563842, 9789881563873
DOIs	https://doi.org/10.1109/ChiCC.2014.6897123
Publication status	Published - 11 Sept 2014
Event	Proceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China Duration: 28 Jul 2014 → 30 Jul 2014

Publication series

Name	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Publisher	IEEE
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Country/Territory	China
City	Nanjing
Period	28/07/14 → 30/07/14

Bibliographical note

Publisher Copyright:
© 2014 TCCT, CAA.

Keywords

Fault Diagnosis
Missile System
Motor System
Nonlinear Disturbance Observer
Robustness

Access to Document

10.1109/ChiCC.2014.6897123

Cite this

Disturbance observer based fault diagnosis. / Su, Jinya; Chen, Wen Hua; Li, Baibing.
Proceedings of the 33rd Chinese Control Conference, CCC 2014. ed. / Shengyuan Xu; Qianchuan Zhao. IEEE Computer Society, 2014. p. 3024-3029 6897123 (Proceedings of the 33rd Chinese Control Conference, CCC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Su, J, Chen, WH & Li, B 2014, Disturbance observer based fault diagnosis. in S Xu & Q Zhao (eds), Proceedings of the 33rd Chinese Control Conference, CCC 2014., 6897123, Proceedings of the 33rd Chinese Control Conference, CCC 2014, IEEE Computer Society, pp. 3024-3029, Proceedings of the 33rd Chinese Control Conference, CCC 2014, Nanjing, China, 28/07/14. https://doi.org/10.1109/ChiCC.2014.6897123

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title = "Disturbance observer based fault diagnosis",

abstract = "This paper investigates the differences between disturbance observer techniques and residual generation method in fault diagnosis. We firstly point out the possible limitations of residual based approach compared with fault estimation based approach through sensors fault diagnosis of a linear motor driving system. On the one hand, it may produce a residual insensitive to the fault due to the self-correction feature of the observer. On the other hand, the diagnosis logic of it is complicated and does not work when the observability conditions do not hold. On this basis, the nonlinear disturbance observer is further introduced to perform actuator fault diagnosis for a nonlinear system. Simulation results of a linear motor driving system and a nonlinear missile system illustrate the efficiency of fault estimation based diagnosis approach.",

keywords = "Fault Diagnosis, Missile System, Motor System, Nonlinear Disturbance Observer, Robustness",

author = "Jinya Su and Chen, {Wen Hua} and Baibing Li",

note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",

year = "2014",

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doi = "10.1109/ChiCC.2014.6897123",

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N2 - This paper investigates the differences between disturbance observer techniques and residual generation method in fault diagnosis. We firstly point out the possible limitations of residual based approach compared with fault estimation based approach through sensors fault diagnosis of a linear motor driving system. On the one hand, it may produce a residual insensitive to the fault due to the self-correction feature of the observer. On the other hand, the diagnosis logic of it is complicated and does not work when the observability conditions do not hold. On this basis, the nonlinear disturbance observer is further introduced to perform actuator fault diagnosis for a nonlinear system. Simulation results of a linear motor driving system and a nonlinear missile system illustrate the efficiency of fault estimation based diagnosis approach.

AB - This paper investigates the differences between disturbance observer techniques and residual generation method in fault diagnosis. We firstly point out the possible limitations of residual based approach compared with fault estimation based approach through sensors fault diagnosis of a linear motor driving system. On the one hand, it may produce a residual insensitive to the fault due to the self-correction feature of the observer. On the other hand, the diagnosis logic of it is complicated and does not work when the observability conditions do not hold. On this basis, the nonlinear disturbance observer is further introduced to perform actuator fault diagnosis for a nonlinear system. Simulation results of a linear motor driving system and a nonlinear missile system illustrate the efficiency of fault estimation based diagnosis approach.

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KW - Missile System

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KW - Robustness

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Disturbance observer based fault diagnosis

Abstract

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Bibliographical note

Keywords

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