A Novel Control Strategy Based on Temperature Dynamic Decoupling and Belief Expert Rule Base for Large-scale Vertical Quench Furnaces
作者单位：School of Information Science and EngineeringCentral South University
会议名称：《第36届中国控制会议》
会议届次：36
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017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：Special Research Found for the Doctoral Program of Higher Education(20130162110067) The National Natural Science Foundation of China(61174132) Supported by the Fundamental Research Funds for the Central Universities of Central South University
关 键 词：Large Vertical Quench Furnace Error Prediction Dynamic Decoupling Belief Expert Rule PID
摘 要：The large-scale vertical quench furnace has large volume,comphcated structure,strong coupling property,and a variety of heat transfer *** is hard to achieve stability *** in the actual production process,due to the serious variety of ambient temperature,its temperature fluctuate greatly In this paper,a Kernel Extreme Learning Machine（KELM） prediction method is proposed to predict the decoupling parameters in real time by predicting the temperature difference between adjacent two zones at the current time to achieve decouple the temperature of each ***,the Belief Expert Rule Base（BERB） PID control algorithm is utilized to control the temperature *** results show that the method can effectively improve the homogeneity of the temperature in the furnace,and the method is better than the existing method when the ambient temperature changes greatly.