论文部分内容阅读
计算机应用于生产过程控制,首先要制备数学模型,但不管用什么样的方法及手段去建立模型,其模型的预报精度都是有限的。为提高模型的预报精度,人们普遍采用了“自适应校正”技术,用实测的即时信息去修正用大量实测数据统计处理而得到的、带有平均性质的模型。其荐用的修正公式:(?)=(?)+α(B_N-(?))(指数平滑法)。本文就上式的得出做了数学推导,阐明了模型产生误差的原因及修正办法,并就其应用做了介绍,尤其对热连轧机的轧制力模型的修正,做了具体介绍,并附了框图。
Computer used in the production process control, we must first prepare the mathematical model, but no matter what kind of methods and means to establish the model, the model of the forecast accuracy is limited. In order to improve the prediction accuracy of the model, “adaptive correction” technology has been widely used to correct the model with average property obtained by statistical processing of a large amount of measured data with real-time measured information. The recommended correction formula: (?) = (?) + Α (B_N - (?)) (Exponential smoothing). In this paper, the mathematical derivation of the above formula is made, the reason why the model produces the error and the correction method are clarified, and the application is introduced. Especially, the modification of the rolling force model of the hot strip mill is described in detail. Attached to the block diagram.