引用本文:刘祥官 ,罗世华 ,刘元和 ,吴晓峰.高炉炼铁过程炉温的非线性混合控制[J].控制理论与应用,2006,23(3):391~396.[点击复制]
LIU Xiang-guan,LUO Shi-hua,LIU Yuan-he,WU Xiao-feng.Nonlinear mixed control for silicon contents of hot metal in BF ironmaking processes[J].Control Theory and Technology,2006,23(3):391~396.[点击复制]
高炉炼铁过程炉温的非线性混合控制
Nonlinear mixed control for silicon contents of hot metal in BF ironmaking processes
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DOI编号  
  2006,23(3):391-396
中文关键词  高炉炼铁  过程控制  非线性系统  混合控制  控制模式
英文关键词  BF ironmaking  proceeding control  nonlinear system  mixed control  control pattern
基金项目  国家科技部重大推广项目资助项目(99040422A); 浙江省自然科学基金资助项目(Y605389)
作者单位
刘祥官 ,罗世华 ,刘元和 ,吴晓峰 浙江大学系统优化技术研究所,浙江杭州310027
宁波大学数学系,浙江宁波315211
莱芜钢铁集团公司,山东莱芜271104 
中文摘要
      从流体动力学机理和化学反应动力学机理的交叉角度研究高炉炼铁过程炉温控制的复杂性规律,揭示了不同动力学状态下炉内化学反应链及能耗的非线性.基于模糊模式划分、自适应学习确定模型参数等非线性方法,建立了炉温混合控制的偏微分方程及其控制模式,对莱钢1号高炉《智能控制专家系统》在线采集的生产数据的仿真计算结果证明了控制方程对炉温预测控制的适用性,命中率达到90%以上.非线性混合控制方程为实现炼铁过程炉温预测控制的自动化奠定了模型基础.
英文摘要
      The complex regularity of the silicon content of hot metal-[Si] in BF ironmaking processes is studied with hybrid mechanism of liquid dynamics and chemical reaction dynamics.Chemical reaction chain and its nonlinear energy consumption is explored,based on different hydrokinetics state.Firstly,the partial differential equation for mixed control of [Si] and its control pattern is established by some nonlinear methods,such as partition of fuzzy pattern,optimigation of parameter of every pattern with adaptive study,etc.The results of simulated computation with product data collected on-line at Laiwu BF No.1 by intelligent control expert system(ICES) are given to show that the equation is applicable to forecast and control of [Si],the hit rate achieves over 90%.The mixed control equation established the foundation of forecast and automation control of [Si] in BF ironmaking processes.