| 引用本文: | 陈明,尹怡欣,祝乔,张海刚.基于分布参数模型的高炉炉温预测[J].控制理论与应用,2014,31(9):1232~1237.[点击复制] |
| CHEN Ming,YIN Yi-xin,ZHU Qiao,ZHANG Hai-gang.Prediction of blast furnace temperature based on the distributed parameter model[J].Control Theory and Technology,2014,31(9):1232~1237.[点击复制] |
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| 基于分布参数模型的高炉炉温预测 |
| Prediction of blast furnace temperature based on the distributed parameter model |
| 摘要点击 1970 全文点击 1905 投稿时间：2013-10-08 修订日期：2014-04-26 |
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| DOI编号 10.7641/CTA.2014.31047 |
| 2014,31(9):1232-1237 |
| 中文关键词 高炉炉温 分布参数 易适应参数估计 偏微分方程 |
| 英文关键词 blast furnace temperature distributed parameter flexible least square method partial differential equations |
| 基金项目 国家自然科学基金重点资助项目(61333002, 61304087); 国家高新技术研究发展计划(“863”计划)资助项目(2013AA040705); 北京市 自然科学基金资助项目(4132065). |
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| 中文摘要 |
| 高炉炉温的高低直接影响了高炉的生产稳定性以及炼铁过程中的低能耗、高质量等性能指标. 本文采用分 布参数系统思想建立了偏微分方程预测控制模型. 首先, 使用普通最小二乘方法分两种不同方案对模型进行参数 估计并对他们的仿真结果进行比较分析, 然后, 使用易适应的参数估计方法(flexible least square method, FLS)对模 型进行变系数估计处理. 此方法能够体现系数的时变性, 提高模型的准确度. 最后, 从仿真效果图中展示了本方法 对硅含量预报的结果无论在命中率上还是精确度上的优势和有效性. |
| 英文摘要 |
| Blast furnace temperature directly affects the stability of iron-making process, and other performance indica- tors such as low-power and high-quality. In this paper, distributed parameter systems are employed to build the predictive control model described by partial differential equations. First, different schemes are applied to estimate the parameters of BF model using ordinary least squares method. Additionally, the effects of the two schemes are compared based on the simulation results. Then, the flexible least square method (FLS) is used to estimate the time-varying coefficients of the mode. This method can reflect the time-varying coefficients and improve the accuracy of model. Finally, the simulation shows the method for prediction of silicon content is advantageous and effective both in the hit rate and in accuracy. |
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