Analysis of Non-equigap Grey Optimal Model about Smelting Endpoint

摘要：

Vurmg the decarburization process of smelting steel and iron, not only carbon content is difficult to be detected on-line for smelting conditions, but also there are too many uncertain factors, so the endpoint control is still difficult to be accurately determined in time. For this, non-equigap grey optimal model is given to predict carbon content during the decarburization process of smelting steel and iron. Simulation results show that the nonequigap grey optimal model which is established with data in AOD smelting process has the high fitting precision and high prediction precision, and the relative error is between -6.40％ and 3.06％. Carbon content can be predicted well in real time with nonequigap grey optimal model.

关键词： endpoint control non-equigap grey optimal model fitting precision prediction precision

作者: Yufeng Lian Wen You Xuesheng Feng

作者单位: College of Electrical&Electronic Engineering Changchun University of Technology Changchun, China College of Electrical & Electronic Engineering Changchun University of Technology Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 112-115

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）