Title :
Roll eccentricity compensation control for strip rolling mills based on wavelet packet de-noising theory
Author :
Huang, Min ; Fang, Xiaoke ; Wang, Jianhui ; Gu, Shusheng
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
This study seeks to improve the strip thickness accuracy by adding filter and compensator in strip rolling mills. Based on wavelet packet de-noising theory, this paper designed a wavelet packet analyzer of roll eccentricity (WPARE) to eliminate noises and useless frequencies in rolling force signal. By combining WPARE with a compensator, the rolling force influenced by the workpiece in a rolling process could be examined, and it can be fed back by the hybrid system in time. Meanwhile, the rolling gap with compensation eccentricity was quantitatively deduced. Results from a simulation illustrate that the new method could restrain the influence of eccentricity effectively and improve the thickness precision.
Keywords :
interference suppression; motion compensation; rolling mills; wavelet transforms; roll eccentricity compensation control; rolling force signal; strip rolling mills; strip thickness accuracy; wavelet packet analyzer; wavelet packet de-noising theory; Fourier transforms; Frequency domain analysis; Milling machines; Noise reduction; Signal analysis; Signal processing; Strips; Wavelet analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343211