| 周王民1,马戎2,刘奇峰2 |
(1.西北工业大学 理学院应用物理系, 陕西 西安 710072; 2.西北工业大学 自动化学院, 陕西 西安 710072) |
 摘要：在冶炼工业的电弧炉中有效地控制电极电流,对于电弧炉正常运行至关重要。讨论了基于神经网
络对电弧炉电极进行智能控制的方法,运用神经网络的BP、RBF以及双隐层BP模型,分别对电弧炉电
极的单相电流及三相电流进行了分析和仿真。结果表明该方法可以获得有效的控制效果,使电极电流
达到稳定状态。
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| 关键词：电弧炉;神经网络;电极电流 |
| 中图分类号:TP183 文献标识码:A 文章编号:1000-8829(2006)06-0039-03 |
| Study on Intelligent Control of Electrode Current of Arc Furnace Based on Neural Network |
| ZHOU Wang-min1, MA Rong2, LIU Qi-feng2 |
| (1.School of Science, Northwestern Polytechnical University, Xi an 710072,China; 2. College of Automatic, Northwestern Polytechnical University, Xi an 710072, China) |
| Abstract：It's very important to control the electrode current of arc furnace. The method of intelligent control
based on neural network is applied in electrode current of arc furnace.The electrode current is analyzed and
simulated by the BP and RBF models of neral network. The result shows that it's a very effectual control
method and can get the stable electrode current.
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| Key words：arcfurnace; neural network; electrode current |
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