| LF炉电极控制器设计及其应用 |
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| 引用本文： | 张世峰,张绍德,魏骏.LF炉电极控制器设计及其应用[J].自动化与仪表,2006,21(4):21-23,41. |
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| 作者姓名： | 张世峰 张绍德 魏骏 |
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| 作者单位： | 安徽工业大学,电气信息学院,马鞍山,243002 |
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| 基金项目： | 安徽省科技攻关项目;安徽省教育厅自然科学基金 |
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| 摘 要： | 针对LF钢包精炼炉电极控制系统具有非线性、时变、模型不确定、多输入多输出强耦合的特点，提出一种基于RBF神经网络实时在线辨识和神经网络解耦的模糊自适应控制方案，并进行了控制器设计。应用结果证实了此控制方案的有效性。
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| 关 键 词： | LF钢包精炼炉 电极控制 RBF神经网络 在线辨识 模糊自适应解耦控制器 |
| 文章编号： | 1001-9944（2006）04-0021-03 |
| 收稿时间： | 2005-12-07 |
| 修稿时间： | 2005-12-072006-05-11 |
Design and Application of the Electrode System Controller for LF Furnace |
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| ZHANG Shi-feng,ZHANG Shao-de,WEI Jun.Design and Application of the Electrode System Controller for LF Furnace[J].Automation and Instrumentation,2006,21(4):21-23,41. |
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| Authors: | ZHANG Shi-feng ZHANG Shao-de WEI Jun |
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| Abstract: | In accordance with the characters of the electrode system controller in LF furnace such as the high nonlinearity,time-variant,uncertainty and muhivariable input and output eoupling,a control strategy based on the controller of fuzzy adaptive decoupline,which applies RBF neural network real-time identification on line and neural network decoupline,is presented. The validity of the control strategy is verified by result of experimentation. |
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| Keywords: | LF furnace electrode control RBF neural network identification online fuzzy adaptive decoupline controller |
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