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科技导报
|研究论文
2011
, 29
(23) :
70
-73
基于RBF-NN逆系统的卷取张力控制
全屏
蒋泽义1 , 莫天生2 , 张超3
作者信息
1. 马鞍山钢铁股份有限公司煤焦化分公司,安徽马鞍山 243000;2. 马鞍山钢铁股份有限公司第三钢轧厂,安徽马鞍山 243000;3. 河南机电高等专科学校自动控制系,河南新乡 453002
Control Strategy for Coiling Tension Based on RBF-Neural Network Inverse System
JIANG Zeyi1 , MO Tiansheng2 , ZHANG Chao3
Affiliations
1. Coking Coal Branch, Maanshan Iron & Steel Co. Ltd., Maanshan 243000, Anhui Province, China;2. No.3 Steelmaking & Rolling Plant, Maanshan Iron & Steel Co. Ltd., Maanshan 243000, Anhui Province, China;3. Department of Automatic Control, Henan Mechanical and Electrical Engineering College, Xinxiang 453002, Henan Province, China
出版时间: 2011-08-18
doi: 10.3981/j.issn.1000-7857.2011.23.010
文章导航
基于对卷取机张力间接控制过程的研究,以提高恒张力卷取控制精度为目的,引入径向基函数(RBF)神经网络及逆系统控制理论知识,结合卷取张力控制过程的物理特性,建立了张力控制逆系统模型,其仿真结果较为理想,对实际的生产有指导意义.
Based on the research on coiling tension indirect control process, for the purpose to improve the accuracy of the constant tension take-up control, RBF neural networks and inverse system control theory are introduced. The physical characteristics of coiling tension control process are combined with, an inverse system model is established, and the simulation results are satisfactory. The model possesses the important guiding significance for actual productions.
coiling tension control
/
RBF neural network
/
inverse system
蒋泽义;莫天生;张超.
基于RBF-NN逆系统的卷取张力控制.
科技导报,
2011
, 29
(23)
: 70
-73
.
DOI: 10.3981/j.issn.1000-7857.2011.23.010
JIANG Zeyi;MO Tiansheng;ZHANG Chao.
Control Strategy for Coiling Tension Based on RBF-Neural Network Inverse System[J].
Science & Technology Review ,
2011
, 29
(23)
: 70
-73
.
DOI: 10.3981/j.issn.1000-7857.2011.23.010
2011年第29卷第23期
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文章信息
doi: 10.3981/j.issn.1000-7857.2011.23.010
接收时间：2010-07-02
首发时间：2011-08-18
出版时间：2011-08-18
收稿日期：2010-07-02
修回日期：2011-08-04
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2011.23.010
引用本文
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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