Electric arc furnace based on fuzzy neural network control system and MATLAB simulation

被引：1
|
作者：
Li Qiang [1 ]
Wu Penghua [1 ]
机构：
[1] Xian Univ Technol, Automat & Informat Engn Inst, Xian 710048, Peoples R China
来源：
MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2 | 2011年 / 48-49卷
关键词：
Fuzzy neural network control; matlab simulation; three-phase unified consciousness; electrode regulation system; arc furnace steel-making;
D O I：
10.4028/www.scientific.net/AMM.48-49.491
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
EAF steelmaking is a complex physical and chemical reactions,has Highly nonlinearity, time variability and strong coupling. As the electrode's contact with the charging circuit, charging the collapse of the gasification furnace components and liquid metal boiling and other factors, often result in dramatic fluctuations in arc current. At this point we need to quickly adjust the location of electrodes, so that arc current stable base on this within a certain range. This article in the fuzzy control and neural network's foundation,will study a kind based on three-phase consciousness electric arc furnace predictive control new method, Using the fuzzy neural network control adjusting electrode, further enhancing the effectiveness of electric arc furnace'synthesis movement.
引用
收藏
页码：491 / +
页数：2
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