氧气顶吹转炉智能控制策略的研究  

Study on intelligent control strategy of BOF

作　　者：曲丽萍 曲永印[1] 白晶[1] 张宏文 

机构地区：[1]北华大学电气信息工程学院,吉林吉林132021 [2]北京亚控科技发展公司

出　　处：《冶金自动化》2007年第3期24-27,共4页Metallurgical Industry Automation

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：在全面分析转炉炼钢生产特点的基础上,建立了神经元网络的预报模型和控制模型,并且将炼钢的终点温度和终点碳含量作为控制目标值,计算氧气的补吹量和冷却剂的补入量,进而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 steelmaking characteristics of BOF, a prediction model and control model based on neural network were established. Taking endpoint temperature and endpoint carbon content as control target, oxygen-blown volume and added coolant were calculated, then endpoint control of convert steelmaking was realized. Simulation results show that the simulation result of endpoint temperature and carbon content are satisfying and 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 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]