Title :
Research on periodical fluctuations identification and compensation control method for export thickness in rolling mill
Author :
Zheng, Gang ; Qu, Qing-qing
Author_Institution :
Fac. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
A method based on the least square (LS) method is introduced in this paper to analyze and calculate the characteristic parameters of periodic export thickness error of the rolling mill, and a new solution is also proposed to control the rolling mill and realize the compensation for the export thickness error. The results of simulation and the field data processing proved that this method could compute the periodic fluctuation of the export thickness error including entrance thickness and roll eccentricity quickly and accurately, compensate and control export thickness of the rolling mill.
Keywords :
compensation; least squares approximations; rolling mills; thickness control; compensation control method; entrance thickness; least square method; periodic export thickness error; periodical fluctuation identification; roll eccentricity; rolling mill; Automation; Cybernetics; Error correction; Fluctuations; Machine learning; Milling machines; Production; Sampling methods; Strips; Thickness control; Compensation; GLS Method; Rolling Mill; Thickness Control;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212207
