Control strategy of coiling tension based on RBF-NN inverse system

被引：0
作者：
Duan, Chaowei [1 ]
Zhang, Chao [1 ]
机构：
[1] Henan Mech & Elect Engn Coll, Xinxiang 453003, Henan, Peoples R China
来源：
FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY II, PTS 1 AND 2 | 2012年 / 503-504卷
关键词：
Radial basis function; Neural network; Inverse system; Control strategy;
D O I：
10.4028/www.scientific.net/AMR.503-504.1276
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the study of coiler tension indirect control process, the purpose is to improve the control accuracy of the constant tension by the introduction of RBF neural networks and inverse system control theory. Depending on the physical characteristic of coiling tension control process, it could build the inverse system model for coiling tension control. By analyzing simulation results, this control strategy has great significance to the actual production.
引用
收藏
页码：1276 / 1279
页数：4
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