A new robust on-line fault diagnosis for nonlinear difference-algebraic systems

被引：0
|
作者：
Chen, YD [1 ]
Weng, ZX [1 ]
Shi, SJ [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Res Inst Automat, Shanghai 200030, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
fault diagnosis; least squares; robustness; sensitivity; detection time;
D O I：
10.1109/WCICA.2002.1021371
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new robust on-line fault diagnosis method based on least squares. estimate for non-linear Difference-Algebraic Systems (DAS) with uncertainties is proposed. Based on the known nominal model of DAS, it firstly constructs an auxiliary system consisting of a difference equation and an algebraic equation, then based on the relationship between the state deviation and the faults in the difference equation and the relationship between the algebraic variable deviation and the faults in algebraic equation, it identifies the faults on-line through least squares estimate. This method can not only detect, isolate and identify faults for DAS, but also give the upper bound of the error of fault identification.
引用
收藏
页码：1701 / 1705
页数：5
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