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.
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.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第2期178-181,共4页
Journal of Northeastern University(Natural Science)
基金
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)
关键词
电弧模型
时变性
偏最小二乘回归
参数辨识
arc model
time-variant
partial least-squares regression
parameter identification
