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两种转炉炼钢终点控制模型的比较
引用本文:郑忠,史战东,高小强,代有训.两种转炉炼钢终点控制模型的比较[J].特殊钢,2008,29(6):20-22.
作者姓名:郑忠  史战东  高小强  代有训
作者单位:1重庆大学材料科学与工程学院,重庆400045; 2重庆大学经济与工商管理学院,重庆400044
摘    要:分析了转炉炼钢静态控制与动态控制模型的方法、作用及功能关系。针对中小型炼钢转炉检测设备受限制的现状,从建模原理、方法特点和应用效果方面对建立的基于遗传算法-神经网络混合算法(CA-BP)的转炉炼钢终点优化控制静态模型和转炉炼钢终点预测的准动态控制模型进行了比较,认为混合算法可以提高静态模型的预测效果,而准动态模型可以反映转炉冶炼的动态操作和加料过程对一次倒炉时间和终点的影响。

关 键 词:转炉炼钢  终点控制  BP人工神经网络  遗传算法  
收稿时间:2008-05-12

A Comparison between Two Models for Controlling End-point of Converter Steelmaking
Zheng Zhong,Shi Zhandong,Gao Xiaoqiang,Dai Youxun.A Comparison between Two Models for Controlling End-point of Converter Steelmaking[J].Special Steel,2008,29(6):20-22.
Authors:Zheng Zhong  Shi Zhandong  Gao Xiaoqiang  Dai Youxun
Affiliation:1 College of Materials Science and Engineering,Chongqing University,Chongqing 400045; 2 College of Economics and Business Administration,Chongging University,Chongqing 400044
Abstract:Method,effect and function relation of static model and dynamic model for controlling end-point of convert- er steelmaking have been analyzed.According to the handicapped present situation of sensor for medium and small size con- verters,the comparison between optimal static model based on established GA-BP hybrid algorithm for predicting end-point of converter steelmaking and quasi-dynamic control model for predicting end-point of converter steelmaking has been com- pared from modeling principle,methodolog...
Keywords:Material Index Converter Steelmaking  End-point Controlling  BP Neural Network  Genetic Algorithm  
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