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| 基于神经网络的电极调节内模控制 | |
| 引用本文： | 郝全田,李嵩,高玉荣,王鑫.基于神经网络的电极调节内模控制[J].电气技术,2011(11):60-63. |
| 作者姓名： | 郝全田 李嵩 高玉荣 王鑫 |
| 作者单位： | 1. 安阳钢铁股份有限公司,河南安阳,455004 2. 安阳县电业管理公司,河南安阳,455000 3. 安阳供电公司,河南安阳,455004 |
| 摘 要： | 精炼炉电极调节系统是一个多变量、强耦合、大滞后的非线性系统，多年以来大多采用传统PID控制方式，控制效果不很理想。本文提出一种基于神经网络的电极调节内模控制方法，通过仿真证明了精炼炉电极调节系统内模控制跟踪设定电流好、抗扰动能力强。 |
| 关 键 词： | 电极调节 BP神经网络 内模控制 |
Internal Model Control on Electrode Regulator Based on Neurl Netwok |
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| Hao Quantian,Li Song,Gao Yurong,Wang Xin.Internal Model Control on Electrode Regulator Based on Neurl Netwok[J].Electrical Engineering,2011(11):60-63. | |
| Authors: | Hao Quantian Li Song Gao Yurong Wang Xin |
| Affiliation: | 1.Anyang Iron & Steel Co.,Ltd, Anyang, He’nan 455004;2.Anyangxian Electric Power Company, Anyang, He’nan 455000; 3.Anyang Electric Power Company, Anyang, He’nan 455004) |
| Abstract: | Ladle furnace electrode regulation system is a multi-variable, strong coupling, and parameter time-varying nonlinear system, nowadays the system is often controlled by PID that could hardly achieve ideal control result. Based neural network the model of the internal model control（IMC） is estahlished, Simulation results proved that the IMC method on electrod regulating system of ladle furnace tracking setting current good, disturbance is strong. |
| Keywords: | electrode regulation BP neural networks internal model control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |