高炉炼铁过程铁水质量的运行优化控制  

Operational Optimization Control of Molten Iron Quality in Blast Furnace Ironmaking Process

作　　者：陈建华 周平 CHEN Jian-hua;ZHOU Ping(The State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China)

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,辽宁沈阳110819

出　　处：《控制工程》2020年第7期1136-1141,共6页Control Engineering of China

基　　金：国家自然科学基金项目(61290323,61473064,61333007);中央高校基本科研业务费项目(N160805001);辽宁省教育厅科技项目(L20150186)。

摘　　要：针对高炉炼铁过程难以实现自动控制的难题,提出了高炉炼铁过程铁水质量的运行优化控制方法。首先,通过优化吨铁生产成本指标,获得铁水质量的设定值;其次,基于铁水质量优化设定值与双线性子空间预测模型实时输出之间的误差,利用案例推理(Case-based Reasoning, CBR)技术和高炉炉长的经验知识,确定喷煤、冷风等控制回路的设定值。通过底层各控制回路跟踪优化的设定值,从而将铁水质量控制在目标范围内。最后,在实际高炉炼铁过程中的应用效果表明了该方法的有效性,不但保证了高炉炼铁过程的安全稳定顺行,而且能够有效的提高铁水质量。Concentrated on the issue that blast furnace ironmaking process is difficult to achieve the automatic control. This paper proposes an operational optimization control method for molten iron quality(MIQ) in blast furnace ironmaking process. Firstly, the setpoints of MIQ are obtained by optimizing the production cost index function of tonne iron. Secondly, on the basis of the error between the setpoints and the real-time output of bilinear subspace prediction model, the setpoints of the coal injection, the cold air and the other basic control loops are determined by using the case-based reasoning(CBR) technique and experience knowledge of the furnace superintendent. The setpoints can be tracked by the basic control loops and the final MIQ is controlled within the desired range. Finally, industrial applications in the practical blast furnace ironmaking process demonstrate the effectiveness of the proposed method, which not only ensures the safety and the stable operation of ironmaking process, but also can effectively improve the MIQ.

关 键 词：高炉炼铁 运行优化控制 铁水质量优化 双线性子空间模型 案例推理 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]