首页 | 本学科首页   官方微博 | 高级检索  
     

电弧炉神经网络预测补偿控制系统设计与实现
引用本文:张晓晖,康世民. 电弧炉神经网络预测补偿控制系统设计与实现[J]. 工业加热, 2006, 35(6): 37-39,55
作者姓名:张晓晖  康世民
作者单位:西安理工大学,信息与控制工程中心,陕西,西安,710043;西安电磁机械厂,陕西,西安,710016
摘    要:利用神经网络预测技术设计实现了一套电弧炉电极智能控制系统,介绍了系统的整体结构和实现技术。系统采用神经网络预测电弧炉电弧下一时刻的状态,然后利用此预测结果对PID控制器的输出进行调整,使系统较好地适应负载和外扰的变化,从而获得满意的控制质量。

关 键 词:电弧炉  神经网络  预测
文章编号:1002-1639(2006)06-0037-03
收稿时间:2006-03-20
修稿时间:2006-03-202006-09-04

The Design of the Control System Compensated by Neural Network Predicting for Electric Arc Furnace
ZHANG Xiao-hui,KANG Shi-min. The Design of the Control System Compensated by Neural Network Predicting for Electric Arc Furnace[J]. Industrial Heating, 2006, 35(6): 37-39,55
Authors:ZHANG Xiao-hui  KANG Shi-min
Abstract:Thepaper presents a new Electric Arc Furnace(E. A. F.)control method compensated byneural network predicting, and introduces the entire structure and realizing technique of the system. The neural network is used here to predict the state of E. A. F., then to control an actual furnace by compensating the outputting of the PID controller. The system can adjust related parameters to suit the variations in load and external interference, which has yielded satisfied control quality.
Keywords:electric arc furnace  neural network  predict
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号