Robust Fault Diagnosis Based on Nonlinear Model of Hydraulic Gauge Control System on Rolling Mill

被引：31

作者：

Dong, Min ^{[1
]}

Liu, Cai ^{[1
]}

Li, Guoyou ^{[1
]}

机构：

[1] Yanshan Univ, Coll Mech Engn, Qinhuangdao 066004, Peoples R China

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2010年 / 18卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Automatic gauge control (AGC); decoupling; differential geometric method; mathematical model; nonlinear observer; OBSERVER;

D O I：

10.1109/TCST.2009.2019750

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 nonlinear model of a hydraulic automatic gauge control (AGC) system is established for fault detection and isolation (FDI). By analyzing the relationship between faults and load uncertainties, a decoupling subsystem has been derived using a differential geometric approach. An exponential gain observer has been designed based on the observable decoupling subsystem. Diagnosis residual signal is sensitive to designated faults and robust to load uncertainty. Two real data examples verify that the observer is stable and asymptotically convergent. The correctness and superiority are testified by actual data examples.

引用

页码：510 / 515

页数：6

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