![](/images/graphics-bg.png)
Fault Detection Based on Tracking Differentiator Applied on the Suspension System of Maglev Train
Joint Authors
Zhang, Hehong
Xie, Yunde
Long, Zhiqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A fault detection method based on the optimized tracking differentiator is introduced.
It is applied on the acceleration sensor of the suspension system of maglev train.
It detects the fault of the acceleration sensor by comparing the acceleration integral signal with the speed signal obtained by the optimized tracking differentiator.
This paper optimizes the control variable when the states locate within or beyond the two-step reachable region to improve the performance of the approximate linear discrete tracking differentiator.
Fault-tolerant control has been conducted by feedback based on the speed signal acquired from the optimized tracking differentiator when the acceleration sensor fails.
The simulation and experiment results show the practical usefulness of the presented method.
American Psychological Association (APA)
Zhang, Hehong& Xie, Yunde& Long, Zhiqiang. 2015. Fault Detection Based on Tracking Differentiator Applied on the Suspension System of Maglev Train. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073307
Modern Language Association (MLA)
Zhang, Hehong…[et al.]. Fault Detection Based on Tracking Differentiator Applied on the Suspension System of Maglev Train. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073307
American Medical Association (AMA)
Zhang, Hehong& Xie, Yunde& Long, Zhiqiang. Fault Detection Based on Tracking Differentiator Applied on the Suspension System of Maglev Train. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073307
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073307