Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Sliding Mode Observer-based Sensor and Actuator Fault Reconstruction for Nonlinear System

Authors
Liao-liang Xiao
Corresponding Author
Liao-liang Xiao
Available Online May 2015.
DOI
10.2991/asei-15.2015.227How to use a DOI?
Keywords
coordinate transformation, robust fault diagnosis, fault reconstruction, sliding mode observer
Abstract

This paper presents a fault reconstruction scheme based on sliding mode observers for sensor and actuator faults detection and isolation for a class of uncertain nonlinear systems. A coordinate transformation is first designed for the output equation of the system followed by a first-order low-pass filter in order to convert the sensor faults into equivalent actuator faults. The original system then is transformed into three subsystems through linear transformation. The simulation examples verify the effectiveness of such method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.227How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liao-liang Xiao
PY  - 2015/05
DA  - 2015/05
TI  - Sliding Mode Observer-based Sensor and Actuator Fault Reconstruction for Nonlinear System
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1148
EP  - 1153
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.227
DO  - 10.2991/asei-15.2015.227
ID  - Xiao2015/05
ER  -