东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (2): 178-181.DOI: -

• 信息与控制 • 上一篇    下一篇

电弧炉系统电弧模型的建立与参数辨识

于丰，毛志忠   

  1. (东北大学信息科学与工程学院，辽宁沈阳110819)
  • 收稿日期:2012-08-15 修回日期:2012-08-15 出版日期:2013-02-15 发布日期:2013-04-04
  • 通讯作者: 于丰
  • 作者简介:于丰(1984-)，男，辽宁沈阳人，东北大学博士研究生；毛志忠(1961-)，男，山东莱州人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61203103)；中央高校基本科研业务费专项资金资助项目(N110304006).

An Arc Model for Arc Furnace System and Parameter Identification

YU Feng， MAO Zhizhong   

  1. School of Information Science ＆ Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2012-08-15 Revised:2012-08-15 Online:2013-02-15 Published:2013-04-04
  • Contact: YU Feng
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摘要： 分析了电弧辐射散热规律，并在此基础上考虑炉温变化对电弧特性的影响，建立了电弧炉系统电弧模型.针对炉温难以测量的情况，将电弧随炉温变化的特性等效于电弧的时变性，研究了整个冶炼过程中模型参数的时变情况.在使用现场生产数据对模型参数进行辨识的过程中，针对模型中参数存在相关性的情况，使用基于样条变换的偏最小二乘方法对模型参数进行辨识.辨识结果表明，参数随时间的变化符合以前文献的研究结果以及现场情况，所建立的模型可以全面反映整个冶炼过程中的电弧特性.

关键词: 电弧模型, 时变性, 偏最小二乘回归, 参数辨识

Abstract: Based on the principle of arc radiation， an arc model for arc furnace system was presented， with the influence of changes in furnace temperature on the arc performance considered. In this model， the arc changing with furnace temperature was equivalent to the timevariant arc， for it was difficult to measure furnace temperature. How the model parameters varied with the time during smelting was studied. The spline transformationbased partial leastsquares regression was used to determine the parameters according to production data， which could cope with the correlation between the parameters. The changes with time in these identified parameters conform to the results proposed in the literatures before and actual situation， and the model fully reflects the characteristic of the arc in the entire smelting process.

Key words: arc model, timevariant, partial leastsquares regression, parameter identification

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