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By building mathematical model for HAGC (hydraulic automation gauge control) system of strip rolling mill, treating faults as unknown inputs induced by model uncertainty, and analyzing fault direction, an unknown input fault diagnosis observer group was designed. Fault detection and isolation were realized through making observer residuals robust to specific faults but sensitive to other faults. Sufficient existence conditions and design of the observers were given in detail. Diagnosis observer parameters for servo valve, cylinder, roller and body rolling mill were obtained respectively. The effectiveness of this diagnosis method was proved by actual data simulations.

参考文献

[1] CHEN Zhang-wei;LU Yong-xiang.Fault Detection and Diagnosis Technology for Hydraulic Equipment[J].Chinese Hydraulics and Pneumatics,1995(02):3-7.
[2] LIAN Jia-chuang;LIU Hong-min.Control on Strip Gauge and Strip Shape[M].北京:机械工业出版社,1996
[3] Koenig D;Mammar S.Design of a Class of Reduced Order Unknown Inputs Nonlinear Observer for Fault Diagnosis[A].Piscataway,USA:IEEE Inc,2001:2143-2147.
[4] Robert Engel;Gerhard Kreisselmeier .A continuous-time observer which converges in finite time[J].IEEE Transactions on Automatic Control,2002(7):1202-1204.
[5] Ben M. Chen;Iven M. Y. Mareels;Yufan Zheng;Cishen Zhang .Solutions to disturbance decoupling problem with constant measurement feedback for linear systems[J].Automatica,2000(11):1717-1724.
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