Fault Diagnosis of Nonlinear Uncertain Systems with Triangular Form

Joint Authors

Zhong, Xunyu
Ding, Qi
Peng, Xiafu
Hu, Xiaoqiang

Source

Journal of Control Science and Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-08-01

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

A novel approach to fault diagnosis for a class of nonlinear uncertain systems with triangular form is proposed in this paper.

It is based on the extended state observer (ESO) of the active disturbance rejection controller and linearization of dynamic compensation.

Firstly, an ESO is designed to jointly estimate the states and the combination of uncertainty, faults, and nonlinear function of nonlinear uncertain systems.

It can derive the estimation of nonlinear function via the state estimations and system model.

Then, linearization of dynamic compensation is employed to linearize the system by offsetting nonlinear function mandatorily using its estimation.

An observer-based residual generator is designed on the basis of the prior linearized model for fault diagnosis.

Moreover, threshold treatment technique is adopted to improve the robustness of fault diagnosis.

This method is utilizable and simple in construction and parameter tuning.

And also we show the construction of ESO and give the corresponding convergence proof succinctly.

Finally, a numerical example is presented to illustrate the validity of the proposed fault diagnosis scheme.

American Psychological Association (APA)

Ding, Qi& Peng, Xiafu& Zhong, Xunyu& Hu, Xiaoqiang. 2017. Fault Diagnosis of Nonlinear Uncertain Systems with Triangular Form. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1173504

Modern Language Association (MLA)

Ding, Qi…[et al.]. Fault Diagnosis of Nonlinear Uncertain Systems with Triangular Form. Journal of Control Science and Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1173504

American Medical Association (AMA)

Ding, Qi& Peng, Xiafu& Zhong, Xunyu& Hu, Xiaoqiang. Fault Diagnosis of Nonlinear Uncertain Systems with Triangular Form. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1173504

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173504