模糊小脑模型神经网络在多辊冷连轧机轧制力预报模型中的应用

针对宽带钢多辊冷连轧机组特点,为提高轧制力的预报精度,在结合传统轧制压力模型的基础上把模糊算法和神经网络有机结合,设计出基于模糊小脑模型神经网络的多辊冷连轧机轧制力预报模型.通过对传统轧制力模型计算值、小脑模型预报计算值与实测值进行对比分析可知,基于模糊小脑模型神经网络的多辊冷连轧机轧制力预报模型具有较高的计算精度,更适合于多辊轧机在线计算机过程控制的应用,满足现场在线生产的要求,取得良好的板形板厚控制效果.

Rolling force prediction model of a multi-roll cold tandem mill by fuzzy cerebellum model articulation controller

According to the special characters of a multi-roll cold tandem mill,a rolling force prediction model based on fuzzy algorithm and cerebellum model articulation controller (CMAC) combined with the traditional model was designed to improve the precision of rolling force prediction. By comparing the values of the traditional rolling force model and the prediction model by CMAC with the measured ones,the precision of the prediction model by the fuzzy CMAC is much better than that of the traditional rolling force model and is more suitable for online use of a multi-roll cold tandem mill controlled by computer,which also meets manufacturing requirement of the field and receives better control effect of the shape and thickness.