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Vol. 165, Issue 2, February 2014, pp. 22-28




UIO-based Fault Diagnosis for Hydraulic Automatic Gauge Control System of Magnesium Sheet Mill

1 Li-Ping FAN, 2 Miao LI, 2 Xiao-Lin SHI, 3 Yi LIU

1 College of Environment and Safety Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
2 College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
3 Branch Company of Rolling Equipment, North Heavy Industry Group Co., Ltd., Shenyang, Liaoning 110141, China
1 Tel.: 86-24-89385088, fax: 86-24-89385088

1 E-mail: flpsd@163.com


Received: 6 January 2014 /Accepted: 31 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: Hydraulic automatic gauge control system of magnesium sheet mill is a complex integrated control system, which including mechanical, hydraulic and electrical comprehensive information. The failure rate of AGC system always is high, and its fault reasons are always complex. Based on analyzing the fault of main components of the automatic gauge control system, unknown input observer is used to realize fault diagnosis and isolation. Simulation results show that the fault diagnosis method based on the unknown input observer for the hydraulic automatic gauge control system of magnesium sheet mill is effective.


Keywords: Hydraulic AGC, Fault diagnosis, Unknown input observer (UIO).


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