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作 者:纪振平 田珊珊 张兆雄 阳剑[2] JI Zhen-ping;TIAN Shan-shan;ZHANG Zhao-xiong;YANG Jian(School of Automation and Electrical Engineering,Shenyang Ligong University,Shenyang 110159,China;College of Information Science and Engineering,Northeastern University,Shenyang 110819,China)
机构地区:[1]沈阳理工大学自动化与电气工程学院,沈阳110159 [2]东北大学信息科学与工程学院,沈阳110819
出 处:《电机与控制学报》2018年第12期114-120,共7页Electric Machines and Control
基 金:国家自然科学基金(61273178);辽宁省教育厅资助项目(LG201608)
摘 要:为提高连铸凝固传热温度场模型在线应用的实时性和准确性,提出一种凝固传热机理模型与最小二乘支持向量机(LS-SVM)相结合的集成建模方法,用以实现二冷区控制点温度的在线预测。根据连铸二冷区凝固过程和温度场分布的特点,凝固传热机理模型求解过程采用变网格和变时间步长方法提高了运算速度,基于LS-SVM建立误差补偿模型,用于机理模型的在线校正,提高模型长期运行的准确性。基于实际铸机的测试数据验证了集成模型运行周期小于1 s,预测误差小于10℃,模型满足在线应用要求,为实现二冷动态控制奠定了基础。Aiming at improving the real-time and accuracy of on-line temperatiure field model of solidification and heat-transfer in continuous casting,a integrated modeling method combining solidification and heat-transfer mechanism model with least squares support vector machine(LS-SVM)is proposed.The developed model was used to predict the control point temperature in secondary cooling zone online.Ac cording to the features of solidification process and temperature field distribution of secondary cooling zone in continuous casting,variable grid and variable time step metliods were adopted to improve the calcula tion speed in solving process of solidification and heat-transfer model.Error compensation model based on LS-SVM was developed for online correction of mechanism model,which increased the accuracy of the long running model.The test results based on the actual casting machine data verify that the run cycle is less than 1s and the predict error is less than 10 C.The developed model fiulfills the requirements of on line applications which lays a foundation for realizing the second cooling dynamic control.
关 键 词:连铸 凝固传热 集成建模 最小二乘支持矢量机 二冷动态控制
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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