Rolling force prediction model of a multi-roll cold tandem mill by fuzzy cerebellum model articulation controller
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摘要: 針對寬帶鋼多輥冷連軋機組特點,為提高軋制力的預報精度,在結合傳統軋制壓力模型的基礎上把模糊算法和神經網絡有機結合,設計出基于模糊小腦模型神經網絡的多輥冷連軋機軋制力預報模型.通過對傳統軋制力模型計算值、小腦模型預報計算值與實測值進行對比分析可知,基于模糊小腦模型神經網絡的多輥冷連軋機軋制力預報模型具有較高的計算精度,更適合于多輥軋機在線計算機過程控制的應用,滿足現場在線生產的要求,取得良好的板形板厚控制效果.Abstract: According to the special characters of a multi-roll cold tandem mill, a roiling 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 roiling 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.
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