东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (3): 378-380+384.DOI: -

• 论著 • 上一篇    下一篇

扩展卡尔曼滤波在中厚板轧制道次修正中的应用

许磊;曾庆亮;崔海涛;王国栋;   

  1. 东北大学轧制技术及连轧自动化国家重点实验室;安阳钢铁集团公司;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50604006)

Application of extended Kalman filter to pass modification in plate rolling

Xu, Lei (1); Zeng, Qing-Liang (1); Cui, Hai-Tao (1); Wang, Guo-Dong (1)   

  1. (1) The Sate Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, China; (2) Anyang Iron and Steel Group Co., Anyang 455004, Korea, Republic of
  • Received:2013-06-20 Revised:2013-06-20 Published:2013-06-20
  • Contact: Xu, L.
  • About author:-
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摘要： 大量中厚板轧制的现场实践表明,高精度的厚度尺寸必须通过稳定的在线道次辊缝修正获得.扩展卡尔曼滤波在轧制道次修正中的应用,不但解决了仪表反馈数据的处理问题,并为道次状态的更新提供了一个更为精确的预报模型.对轧制过程中主要模型进行线性化的推导,使得该预报模型可以准确地预报轧制过程中的关键参数,并可通过这些关键参数计算出后续道次的辊缝修正值.研究结果应用于安钢中板厂后,厚度控制命中率提高了14.2%

关键词: 中厚板轧机, 扩展卡尔曼滤波, 道次修正, 厚度控制, 状态转移矩阵

Abstract: It has been indisputable that the high-precision gauge control should be acquired via steady on-line modification of pass or roll gap. The application of extended Kalman filter to pass modification indicated that it is able to not only solve the feedback data-processing problem, but also provide a more accurate prediction model for every updating of pass reduction. The prediction model can predict accurately the key parameters in rolling process by the linearized derivation of main models of rolling process, thus calculating the modifying values of subsequent passes with those key paramenters. The on-line application results in ANSTEEL indicated that the gauging rate increases by 14.2% for heavy paltes.

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