DocumentCode
1186353
Title
Fuzzy approach to shape control in cold rolling of steel strip
Author
Jung, Jae Yun
Author_Institution
Dept. of Precision Eng. & Mechatronics, Korea Adv. Inst. of Sci. & Technol., Taejon
Volume
30
Issue
21
fYear
1994
fDate
10/13/1994 12:00:00 AM
Firstpage
1807
Lastpage
1808
Abstract
Cross-sectional shape control in the cold rolling of thin steel strips has been simulated using a fuzzy controller and emulator developed using fuzzy theory and neural networks, respectively based on production data. Irregular cross-sectional shapes of cold-rolled thin steal strips were classified into six types. For each irregular strip shape, fuzzy control rules were developed and applied continuously until the strip shape converged to the desired flat shape. The simulation results demonstrated that the developed fuzzy controller worked properly
Keywords
cold rolling; fuzzy control; neural nets; process control; spatial variables control; steel manufacture; cold rolling; cross-sectional shape; emulator; fuzzy controller; neural networks; production data; shape control; simulation; steel strip;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19941181
Filename
328578
Link To Document