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《Journal of Zhejiang University(Engineering Science)》 2007-10
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Hybrid time series predictive control model for silicon content in blast furnace hot metal

HE Shi-bo1,LIU Xiang-guan1,GAO Chuan-hou1,HUANG Li-ying2,HUANG Ya-bin2(1.Institute of System Optimum Technique,Zhejiang University,Hangzhou 310027,China;2.Iron-making Plant of Baotou Steel Corp,Baotou,014100,China)  
Based on principle of time series analysis,the dynamic characteristic of silicon content series in molten iron was discussed and the main components were discovered.Integrated the theories of iron-making technique and the situation of Blast Furnace No.6 on-the-spot,canonical correlation analysis(CCA) was used to decide the main influencing parameters of silicon content,eg.lowering speed,blast volume,pulverized coal,permeability,oxygen-enriched,physical temperature of molten iron and basicity.Then a hybrid transfer function model composed of AR(2),state variables and control variables was proposed for predictive control of silicon content.The model was tested using datasets from Blast Furnace No.6 of Baotou Steel Corporation.Simulation showed that the hit rate was over 84%.Thus the predictive control model is effective and economic,and avoids the traditional model's shortcoming of separating the theories of iron-making and statistics.
【Fund】: 国家发改委高技术产业化示范工程项目
【CateGory Index】: TF57
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