引用本文:宋海鹰,桂卫华,阳春华,王雅琳.PS转炉造渣过程的动态优化控制[J].控制理论与应用,2009,26(10):1093~1099.[点击复制]
songhaiying,Gui Wei-hua,Yang Chun-hua,Wang Ya-lin.Dynamic optimization control for the slag forming process in a Pierce-Smith converter[J].Control Theory and Technology,2009,26(10):1093~1099.[点击复制]
PS转炉造渣过程的动态优化控制
Dynamic optimization control for the slag forming process in a Pierce-Smith converter
摘要点击 2289  全文点击 1305  投稿时间:2008-05-11  修订日期:2008-12-12
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DOI编号  10.7641/j.issn.1000-8152.2009.10.CCTA080449
  2009,26(10):1093-1099
中文关键词  PS吹炼  动态优化  智能控制
英文关键词  Pierce-Smith (PS) converter  dynamic optimization  intelligent control
基金项目  国家重点基础研究发展规划资助项目(2002cb312200); 国家自然科学基金资助项目(60634020&60574030); 国家高技术研究发展计划资助项目(2006AA04Z181).
作者单位E-mail
宋海鹰* 广东技术师范学院自动化学院 songhaiying1975@163.com 
桂卫华 中南大学信息科学与工程学院  
阳春华 中南大学信息科学与工程学院  
王雅琳 中南大学信息科学与工程学院  
中文摘要
      建立了Pierce–Smith(PS)转炉造渣过程的非线性状态空间模型, 并提出了基于生产质量指标反馈校正的铜锍造渣过程的动态优化控制方案. 该方案首先基于最优模型求得最优控制律. 为消除吹炼过程中的扰动以及其他不确定因素所带来的影响, 再引入基于生产质量指标的反馈调整机制. 其中反馈信息由软测量模型根据进出转炉的物料计算得到, 智能控制单元根据反馈的质量信息和期望的质量目标间的偏差对最优控制律进行补偿修正. 并在该 动态优化控制方案基础上, 设计并开发了铜锍吹炼过程的优化控制指导决策系统. 实际运行结果表明该系统优化了产品的质量, 同时也实现了铜锍生产过程的节能.
英文摘要
      A nonlinear state space model for the slag forming process in a Pierce-Smith(PS) converter is developed. Based on this model, we propose a dynamic optimization control scheme for the slag forming process, in which the production quality indices are employed for feedback correction. The optimal control laws are derived based on the model, and the production quality index feedback correction is employed for eliminating the disturbances and uncertainties in the process of conversion. The production quality indices are obtained from a soft sensor model in which their values are calculated based on the materials entering and leaving the PS converter. The optimal control laws are also compensated and adjusted by an intelligent control unit according to the differences between the values of the feedback quality indices and the desired quality indices. Finally, an optimization supervising decision system for the PS converting process is developed based on the proposed dynamic optimization control scheme. Practical operation results show that the production quality of the PS converting process is improved, and the energy- saving is achieved by the optimal supervising decision system.