热风炉烟气温度广义预测控制器的设计与实现  被引量:2

Design and Implementation of Generalized Predictive Controller for Hot Blast Stove Temperature

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作  者:薛美盛[1] 高述超 程祥 闵天 秦宇海 XUE Mei-sheng;GAO Shu-chao;CHENG Xiang;MIN Tian;QIN Yu-hai(School of Information Science and Technology,University of Science and Technology of China;Jiangsu Panvieo Energy Saving Technology Co.,Ltd.)

机构地区:[1]中国科学技术大学信息科学技术学院 [2]江苏庞景节能科技有限公司

出  处:《化工自动化及仪表》2018年第7期537-540,554,共5页Control and Instruments in Chemical Industry

摘  要:某钢铁厂顶燃式热风炉升温过程具有滞后、时变和非线性的特点,现场热风炉烟气温度控制自动化程度低、控制品质差。为此,通过带遗忘因子的递推最小二乘法在线辨识时变模型参数,设计烟气温度升温过程的广义预测控制器。仿真和投运结果表明:控制效果良好,热风温度提高了3~5℃,同时节省了1.5%左右的煤气流量。Considering the fact that the temperature-rise process of top combustion stove has characteristics of hysteresis,time varying and nonlinearity and the degree of automation of on-site stove's flue-gas temperature control is low and control quality is poor,and basing on the time-varying model parameters identified on-line by the forgetting factor recursive least squares( FFRLS) method,a generalized predictive controller( GPC) for the stove's flue-gas temperature-rise process was designed and implemented. The simulation and implementation results show that GPC can achieve good performance along with a hot air temperature increased by 3℃ to5℃ and a gas flow reduced by 1. 5% or so.

关 键 词:广义预测控制 热风炉 烟气温度 升温过程 升温速率 在线辨识 遗忘因子 递推最小二乘法 时变模型参数 

分 类 号:TH862.6[机械工程—仪器科学与技术]

 

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