Data Fusion Based Quality Monitoring and Control of Strip Thickness

摘要：

　　This paper first introduces the principle of AGC and conventional AGC in Hot Strip Mill (HSM).A linearized and discretized state-space model used for rolling force and thickness control is obtained by using recursive squares method.A data fusion algorithm based on Kalman filter is presented.For hot strip systems with complex multi-variables,an asynchronous fusion estimation algorithm is built and applied to the thickness prediction of the hot strip mill and the plasticity coefficient Q of strip prediction.Finally,real-time prediction on thickness and plasticity coefficient of the coming strip is synthetically utilized in hot strip rolling thickness control system,to improve the quality of final coming strip thickness.

关键词： Hot Strip Mill AGC Quality monitoring Plasticity coefficient Data fusion

作者: PENG Kaixiang ZHOU Donghua

作者单位: Department of Automation, Tsinghua University, Beijing 100084, P.R.China ;Information Engineering Sc Department of Automation, Tsinghua University, Beijing 100084, P.R.China

会议类型: 国际会议

会议名称: the 2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology (第一届制造科学与检测技术国际会议(ICFMM2011))

会议地点: 重庆

会议语种:英文

页码: 266-273

在线出版日期: 2011-06-23（万方平台首次上网日期，不代表论文的发表时间）