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基于神经网络的电弧炉电极控制系统设计
引用本文:雷俊红,韩星,王维新.基于神经网络的电弧炉电极控制系统设计[J].工业加热,2007,36(5):53-55.
作者姓名:雷俊红  韩星  王维新
作者单位:1. 西安文理学院,陕西,西安,710065
2. 陕西德赛电气有限公司,陕西,西安,710068
摘    要:针对电弧炉电极控制系统具有非线性、时变、模型不确定、大滞后、多输入多输出耦合的特点,很难对系统建立一个精确的数学模型,提出一种基于神经网络实时在线辩识的内模控制方案。采用工业领域广泛使用的PLC来实现该控制方案。仿真及运行结果证实了控制策略的有效性。

关 键 词:电弧炉  BP算法  可编程控制器
文章编号:1002-1639(2007)053-0003
修稿时间:2007-07-17

Design of Electric Arc Furnace Electrode Control System Based on Neural Network
LEI Jun-hong,HAN-Xing,WANG Wei-xin.Design of Electric Arc Furnace Electrode Control System Based on Neural Network[J].Industrial Heating,2007,36(5):53-55.
Authors:LEI Jun-hong  HAN-Xing  WANG Wei-xin
Abstract:Owing to that electric arc furnace control system has nonlinear, delay, random, multi-input and multi-ontput character, it is difficult to set up an accurate maths model for this system. Thus a real-time on line distinguish inner modet control plan based on nural network has been established, this control plan was realized by means of PLC using widely in the indnstry. The simulation and operation results confirm that above-mentioned control strategy was effective.
Keywords:electric arc furnace  BP calculation  PLC  
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