Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems

Joint Authors

Zhang, Chang-fan
He, Jing

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-06

Country of Publication

Egypt

No. of Pages

22

Main Subjects

Civil Engineering

Abstract EN

This paper presents a precision fault reconstruction scheme for a class of nonlinear systems involving unknown input disturbances.

First, using the coordinate transformation algorithm, the disturbances and faults of the system are fully decoupled.

Therefore, it is possible to eliminate the influence of disturbances to the system, namely, better disturbances robustness.

On this basis, the design of a sliding mode state observer makes the most genuine reconstruction realizable, instead of estimation of faults.

Furthermore, with the equivalent principle of sliding mode variable structure, the precision reconstruction of arbitrary nonlinear faults is achieved.

Finally, the applications of fault reconstruction in a third-order nonlinear theoretical model with disturbances and in a single-link robot system, respectively, have demonstrated the validity of the proposed scheme.

American Psychological Association (APA)

He, Jing& Zhang, Chang-fan. 2012. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029584

Modern Language Association (MLA)

He, Jing& Zhang, Chang-fan. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-1029584

American Medical Association (AMA)

He, Jing& Zhang, Chang-fan. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029584

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1029584