Articles

Control Strategy for Coiling Tension Based on RBF-Neural Network Inverse System

  • JIANG Zeyi;MO Tiansheng;ZHANG Chao
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  • 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

Received date: 2010-07-02

  Revised date: 2011-08-04

  Online published: 2011-08-18

Abstract

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.

Cite this article

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

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