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Long-and Short-Term Self-Learning Models of Rolling Force in Rolling Process Without Gaugemeter of Plate

机译:无板规轧制过程中轧制力的长期和短期自学习模型

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摘要

.Owing to a lack of gaugemeter and the variety of steel grades and standards in some plate mills,the longand short-term self-learning models of rolling force based on gauge soft-measuring with high precision were brought up.The soft-measuring method and target value locked method were used in these models to confirm the actual exit gauge of passes,and thick layer division and exponential smoothing method were used to dispose the deformation resistance parameter,which could be calculated from the actual data of the rolling process.The correlative mathematical methods can also be adapted to self-learning with gaugemeter.The models were applied to the process control system of AGC (automatic gauge control) reconstruction on 2 800 mm finishing mill of Anyang steel and favorable effect was obtained.
机译:。由于缺乏规规和某些板材厂钢种和标准的变化,提出了一种基于规规软测量的高精度轧制力长期和短期自学习模型。软测量方法在这些模型中使用目标值锁定方法确定通道的实际出口规格,并使用厚层划分和指数平滑方法来设置变形阻力参数,该参数可以根据轧制过程的实际数据来计算。相关的数学方法也可以适用于量规的自学习。将模型应用于安阳钢厂2 800 mm精轧机的AGC(自动量规控制)重构过程控制系统,取得了良好的效果。

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  • 来源
    《钢铁研究学报(英文版)》 |2009年第1期|27-31,61|共6页
  • 作者单位

    The State Key Laboratory of Rolling Technology and Automation,Northeastern University,Shenyang 110004,Liaoning,China;

    The Second Plant of Plate,Anyang Steel Co Ltd,Anyang 455004,Henan,China;

    The State Key Laboratory of Rolling Technology and Automation,Northeastern University,Shenyang 110004,Liaoning,China;

    The Second Plant of Plate,Anyang Steel Co Ltd,Anyang 455004,Henan,China;

    The State Key Laboratory of Rolling Technology and Automation,Northeastern University,Shenyang 110004,Liaoning,China;

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  • 正文语种 chi
  • 中图分类 金属学与热处理;
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