Neuro-fuzzy tension controller for tandem rolling

被引：2
|
作者：
Janabi-Sharifi, F [1 ]
Liu, J [1 ]
机构：
[1] Ryerson Polytech Inst, Dept Mech Aerosp & Ind Engn, Toronto, ON M5B 2K3, Canada
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2002年
关键词：
tension control; fuzzy logic; neuro-fuzzy system; rolling mill;
D O I：
10.1109/ISIC.2002.1157781
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fuzzy logic controller (FLC) is designed to maintain constant tension for tandem rolling mills. Envisioning fuzzy inference system as neural network and introducing tutor, backward propagation algorithm is used as self-organization technique for FLC to approach the best parameters under supervision. Simulation results exhibit the generalization and adaptivity of neuro-fuzzy controller in offline tuning.
引用
收藏
页码：309 / 314
页数：6
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