Title :
Genetic fuzzy tension controller for tandem rolling
Author :
Janabi-Sharifi, F. ; Liu, J.
Author_Institution :
Dept. of Mech. Aerosp. & Ind. Eng., Ryerson Univ., Toronto, Ont., Canada
Abstract :
A fuzzy logic control (FLC) is designed to maintain constant tension for tandem rolling mills. The genetic algorithm (GA) is used as a self-organization technique for FLC to locate the optimal parameters. Simulation results verify the superior performance of the genetic fuzzy controller.
Keywords :
fuzzy control; genetic algorithms; process control; rolling mills; self-adjusting systems; velocity control; fuzzy control; genetic algorithm; process control; self-organization technique; speed control; tandem rolling mills; tension control; Aerospace control; Automatic speech recognition; Control systems; Fuzzy control; Fuzzy logic; Genetics; Humans; Milling machines; Resonance; Working environment noise;
Conference_Titel :
Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7620-X
DOI :
10.1109/ISIC.2002.1157782
