东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (6): 785-788.DOI: -

• 论著 • 上一篇    下一篇

冷连轧机架间张力设定在线优化算法

周玮;王旭光;张姝红;   

  1. 东北大学流程工业综合自动化教育部重点实验室;东北大学流程工业综合自动化教育部重点实验室;东北大学流程工业综合自动化教育部重点实验室 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-06-15 发布日期:2013-06-24
  • 通讯作者: Zhou, W.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60574050)

On-line optimization algorithm for interstand tension setting during tandem cold rolling

Zhou, Wei (1); Wang, Xu-Guang (1); Zhang, Shu-Hong (1)   

  1. (1) Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-06-15 Published:2013-06-24
  • Contact: Zhou, W.
  • About author:-
  • Supported by:
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摘要： 针对冷连轧机架间张力设定优化问题,基于嵌入模糊规则的遗传算法,建立0-1整数规划模型,提出冷连轧机架间张力设定在线优化算法.该算法既可以提高生产线生产效率,降低电机能耗,改善冷连轧产品质量,也具备运算速度快,在线参数自学习的特点.对本钢1767冷连轧机架间张力设定优化的实践表明,嵌入模糊规则的遗传算法能够在线应用,解决冷连轧机张力决策中的优化问题,对冷连轧机组高效运行的进一步相关研究探索有借鉴作用.

关键词: 冷连轧机, 在线优化, 遗传算法, 架间张力设定, 模糊规则

Abstract: Based on the genetic algorithm with embedded fuzzy rules and a 0-1 integer planning model thus set up, an online optimization algorithm is developed for interstand tension setting during tandem cold rolling. The algorithm can improve productivity and products' quality with energy saved in addition to its high computing speed and online self-learning feature. The result of interstand tension setting optimization on tandem cold rolling mill for 1767 mm strip indicated that the genetic algorithm with embedded fuzzy rules can optimize online the interstand tension setting decision and play an reference role in exploring further the high-efficiency running of the tandem mill.

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