DocumentCode :
2668787
Title :
A learning fuzzy system for looper control in rolling mills
Author :
Janabi-Sharifi, E. ; Fan, J.
Author_Institution :
Dept. of Mech. Eng., Ryerson Polytech. Univ., Toronto, Ont., Canada
Volume :
5
fYear :
2000
fDate :
2000
Firstpage :
3722
Abstract :
In this paper, several issues of looper control in rolling mills are discussed and a fuzzy logic control is proposed to address the enumerated issues. The proposed system incorporated fast tuning algorithms for both off-line and online learning of membership functions and singleton values. Also, it is relatively simple to design and implement. The effectiveness of the proposed system is verified by the simulations results. It is shown that the proposed system is more robust to parameter uncertainties and noises, when compared with conventional PID control
Keywords :
fuzzy control; rolling mills; fuzzy logic control; learning fuzzy system; looper control; membership functions; parameter uncertainties; rolling mills; simulations results; singleton values; Control systems; Finishing; Fuzzy control; Fuzzy sets; Fuzzy systems; Milling machines; Robust control; Steel; Strips; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
ISSN :
1062-922X
Print_ISBN :
0-7803-6583-6
Type :
conf
DOI :
10.1109/ICSMC.2000.886589
Filename :
886589
Link To Document :
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