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将神经网络进行推理的模糊控制技术应用于某钢铁公司热轧带钢厚度设定中,得到高精度的辊缝设定值,为热轧带钢精轧机组厚度设定模型的研究提供了一种新方法,进一步提高了厚度控制精度。

In order to set roll gap with high accuracy the fuzzy control technology inferred by neural network to set the thickness of strip in hot strip mill had been applied in an Iron and Steel Co..This is a new method to the research of setting models to promote further improvement of thickness accuracy.

参考文献

[1] Adam Randall .Adaptive finishing mill setup model and gage control upgrade for LTV steel Cleveland works' 80-in. hot strip mill[J].Iron and Steel Engineer,1997(8):31-40.
[2] Hiroshi Haraki;Ryoichi Takahashi;Kazuyoshi Kimura .[J].Iron and Steel Engineers,1992,69(08):54.
[3] 阎丽霞.热带钢轧机的智能控制技术[J].国外钢铁,1997(02):50-52.
[4] 王彤;刘相华;王国栋.热轧带钢精轧机组的厚度设定与控制新技术[J].钢铁研究,1997(05):57-62.
[5] Takashi ODA et al.[J].ISIJ International,1995,35(01)
[6] 李士勇.模糊控制和智能控制理论与应用[M].哈尔滨:哈尔滨工业大学出版社,1990:89-105.
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