DocumentCode
3352245
Title
Research on identification for rolling force control systemin 1500 skin pass mill
Author
Li, Hao ; Kong, Xiangdong
Author_Institution
Coll. of Vehicle & Energy, Yanshan Univ., Qinhuangdao, China
fYear
2010
fDate
26-28 June 2010
Firstpage
3234
Lastpage
3237
Abstract
On the basis of studying the components and the dynamic peculiarities of rolling force control system in a 1500 skin pass mill, a mathematical model was established. The trend term is extracted from original signal using the wavelet multi-scale analysis, most noise signal was deleted, and the data suitable for system identification are obtained. Based on the data the characteristic parameters were identified by least square method and the result of identification was verified.
Keywords
identification; least squares approximations; milling; rolling; rolling mills; wavelet transforms; dynamic peculiarity; least square method; noise signal; rolling force control system; skin pass mill; system identification; wavelet multiscale analysis; Data mining; Force control; Least squares methods; Mathematical model; Milling machines; Signal analysis; Signal processing; Skin; System identification; Wavelet analysis; Rolling force control system; Skin pass mill; System identification; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535806
Filename
5535806
Link To Document