LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System
Joint Authors
Zhang, Chang-fan
Yan, Min
He, Jing
Luo, Cheng
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper presents a diagnosis scheme based on a linear matrix inequality (LMI) algorithm for incipient faults in a nonlinear system class with unknown input disturbances.
First, the nonlinear system is transformed into two subsystems, one of which is unrelated to the disturbances.
Second, for the subsystem that is free from disturbances, a Luenberger observer is constructed; a sliding mode observer is then constructed for the subsystem which is subjected to disturbances, so that the effect of the unknown input disturbances is eliminated.
Together, the entire system achieves both robustness to disturbances and sensitivity to incipient faults.
Finally, the effectiveness and feasibility of the proposed method are verified through a numerical example using a single-link robotic arm.
American Psychological Association (APA)
Zhang, Chang-fan& Yan, Min& He, Jing& Luo, Cheng. 2012. LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-993345
Modern Language Association (MLA)
Zhang, Chang-fan…[et al.]. LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System. Journal of Applied Mathematics No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-993345
American Medical Association (AMA)
Zhang, Chang-fan& Yan, Min& He, Jing& Luo, Cheng. LMI-Based Sliding Mode Observers for Incipient Faults Detection in Nonlinear System. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-993345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993345