炼钢智能自动化系统  

On Intelligent Automation System of BOF

作　　者：曲丽萍 曲永印[1] 白晶[1] 柳成[1] 

机构地区：[1]北华大学电气信息工程学院,吉林吉林132021

出　　处：《控制工程》2007年第S3期17-19,22,共4页Control Engineering of China

基　　金：科技部科技型中小企业技术创新基金小额资助项目(04C26222200055)

摘　　要：全面分析了转炉炼钢生产特点,并在此基础上建立了神经元网络的预报模型和控制模型。同时,将炼钢的终点温度和终点碳含量作为控制目标,计算氧气的补吹量和冷却剂的补入量,实现转炉炼钢的终点控制。从计算机仿真结果看,终点温度和终点碳含量仿真精度高,控制策略有效。On the basis of analyzing the steel-making characteristics of BOF,the prediction model and control model are founded baaed on neu- ral network.The endpoint temperature and endpoint Carbon content are considered to be control target.Blown oxygen and added coolant are ca- culated in order to make steel-making endpoint control.The simulation results show that the endpoint temperature and Carbon content are sati- sfied,and the control strategy is very effective.

关 键 词：转炉炼钢 终点控制 终点温度 终点碳含量 氧气补吹量 冷却剂补入量 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]