DocumentCode :
316227
Title :
An adaptive fuzzy modeling for continuous galvanizing line
Author :
Watanabe, Toshihiko ; Narazaki, Hiroshi ; Uchiyama, Yasutaka ; Nakano, Hiroaki
Author_Institution :
Process Technol. Res. Lab., Kobe Steel Ltd., Japan
Volume :
1
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
663
Abstract :
This paper describes an adaptive fuzzy modeling method and its successful application to the feedforward control for a continuous galvanizing line (CGL) in an iron and steel making plant. In CGL, due to the time delay that exists in the process, the feedforward control is indispensable for the accurate control of the solidified zinc of a galvanized steel strip. For this feedforward control to be successful, a model having the following two properties is required: 1) the model should be able to describe the nonlinear characteristics of the process; and 2) the model should have an adaptive capability to maintain accuracy in the long run. In this paper, we present an adaptive fuzzy modeling method that satisfies the above two criteria. The usefulness of our method is demonstrated using experimental results
Keywords :
adaptive control; feedforward; fuzzy control; fuzzy set theory; metallurgical industries; nonlinear control systems; process control; surface treatment; adaptive fuzzy modeling; continuous galvanizing line; feedforward control; fuzzy set theory; galvanized steel strip; metallurgical industry; nonlinear systems; process control; time delay; Adaptive control; Delay effects; Fuzzy control; Galvanizing; Iron; Process control; Programmable control; Steel; Strips; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.625829
Filename :
625829
Link To Document :
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