Title :
Parameters Identifying and Experiment of Automatic Gauge Control System in 300-Rolling Mill
Author :
Shan, Dong-sheng ; Kong, Xiang-dong ; An, Ya-ya ; Gao, Ying-jie
Author_Institution :
Mech. Eng. Coll., Yanshan Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
The article discusses the application of system identification technology to build model of hydraulic automatic gauge control system (AGC) in 300 four-high mill, because it is hard to acquire the accurate value of some parameters by analyzing the mechanical method. By comparing and analyzing the identified results, the identification model proves to be feasible and creditable. It might establish a foundation for system design, control characteristic analyzing and optimum control
Keywords :
control system analysis; hydraulic control equipment; parameter estimation; rolling; rolling mills; thickness control; control characteristic analysis; hydraulic automatic gauge control system model; mechanical method; optimum control; parameter identification model; rolling mill; system design; system identification technology; Automatic control; Control systems; Equations; Least squares methods; Milling machines; Resonance light scattering; Signal processing; Strips; Thickness control; White noise;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.134
