A Dynamic Data-driven Model for Predicting Strip Temperature in Continuous Annealing Line Heating Process
作者单位：School of Information Science and Engineering Central South University School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
会议名称：《第37届中国控制会议》
会议日期：2018年
学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by the National Natural Science Foundation of China under Grant 61773354 the Hubei Provincial Natural Science Foundation of China under Grant 2015CFA010 the 111 project under Grant B17040
关 键 词：data-driven dynamic model continuous annealing line heating process
摘 要：In the continuous annealing line heating process, it is hard to get an accurate predict result only by a steady state model as it is a complex, strongly time-delayed and confounding process. This study provides a method for building a dynamic model. First analyzes the mechanism of the annealing line to get the main parameters, and then use the data-driven modeling method to get a steady state model, finally combines with dynamic algorithm to establish a dynamic model. This modeling method improves the accuracy of predict result to guarantee the efficiency of enterprises.