%0 Journal Article
%T BOF Intelligent Dynamic Endpoint Control<br>转炉炼钢智能动态终点控制(英文)
%A XIE Shu-ming
%A SUN Ting-yu
%A CHAI Tian-you
%A TAO Jun
%A <br>谢书明
%A 孙廷玉
%A 柴天佑
%A 陶　钧
%J 控制理论与应用
%D 2001
%I 
%X Being aimed at BOF (basic oxygen furnace) process which is complicated,has many factors influencing the endpoint, and is difficult to be measured continuously and accurately,the intelligent dynamic endpoint control based on the sublance information is proposed. The BOF endpoint temperature and carbon content are predicted by use of gray model and neural network compensation. On the basis of this,the RBF neural network is regarded as presetting model,and the oxygen and coolant during the reblowing period are adjusted through fuzzy adjustment.A 180t converter is simulated.The results show that the method is effective.
%K BOF steelmaking
%K intelligent control
%K endpoint control<br>转炉炼钢
%K 智能控制
%K 终点控制
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=584A0528587C20A7&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=C7DDDE86E6286CD9&eid=EA64BD0B2FF6E786&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=8