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