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

Civil Engineering

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