Application of RBF neural networks in control system of the slab accelerating cooling process

被引：0
|
作者：
Chai, Tianyou [1 ]
Wang, Xiaobo [1 ]
机构：
[1] Northeastern Univ, Shenyang, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2000年 / 26卷 / 02期
关键词：
Control - Neural networks - Rolling mill practice;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In the slab accelerating cooling process, the variance range of the slab's inlet temperature is large, and the closed-loop control of the slab finishing cooling temperature is difficult. RBF (radial basis functions) neural networks are employed in the slab accelerating control systems, and an RBF neural network-based cooling control model for each curtain's rate of the accelerating cooling control system is proposed. Simulation results and industrial experiments show that the effective control of the slab accelerating cooling process can be realized by use of this control model.
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页码：219 / 225
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