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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5535806
