DocumentCode :
1743821
Title :
Self-tuning fuzzy looper control for rolling mills
Author :
Janabi-Sharifi, F. ; Fan, J.
Author_Institution :
Dept. of Mech. Eng., Ryerson Polytech. Univ., Toronto, Ont., Canada
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
376
Abstract :
Deals with the problem of looper control for tension-free rolling. Conventional controllers can not deal effectively with unmodeled dynamics and large variations which can lead to scrap runs and damages to machinery. Therefore, a fuzzy controller has been designed to use the expert knowledge of the operators for disturbed process control. Also, a self-tuning algorithm is incorporated for both on-line and off-line tuning of the fuzzy membership functions. The paper discusses the design of the fuzzy logic controller and its self-tuning. The effects of various design options are discussed and practical conclusions are made. Results from simulations are also presented
Keywords :
adaptive control; dynamics; fuzzy control; mechanical variables control; process control; rolling mills; self-adjusting systems; tuning; design options; disturbed process control; expert knowledge; fuzzy logic controller; off-line tuning; online tuning; self-tuning fuzzy looper control; tension-free rolling; unmodeled dynamics; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Humans; Mathematical model; Milling machines; Noise robustness; Robust control; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2000.912789
Filename :
912789
Link To Document :
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