东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (5): 613-616.DOI: 10.12068/j.issn.1005-3026.2014.05.002

• 信息与控制 • 上一篇    下一篇

基于混沌粒子群算法的连铸传热模型参数辨识

阳剑1,孟红记1,纪振平2,谢植1   

  1. (1. 东北大学 信息科学与工程学院, 辽宁 沈阳110819; 2. 沈阳理工大学 信息科学与工程学院, 辽宁 沈阳 110159)
  • 收稿日期:2013-07-25 修回日期:2013-07-25 出版日期:2014-05-15 发布日期:2014-08-18
  • 通讯作者: 阳剑
  • 作者简介:阳剑(1985-),男,湖南邵阳人,东北大学博士研究生;谢植(1957-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61273178).

Parameter Identification of Heat Transfer Model for Continuous Casting Billets Based on Chaos Particle Swarm Optimization

YANG Jian1, MENG HongJi1, JI Zhenping2, XIE Zhi1   

  1. 1 School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2 School of Information Science & Engineering, Shenyang Ligong University, Shenyang 110159, China.
  • Received:2013-07-25 Revised:2013-07-25 Online:2014-05-15 Published:2014-08-18
  • Contact: YANG Jian
  • About author:-
  • Supported by:
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摘要: 针对连铸传热模型参数辨识问题中包含偏微分方程所带来的复杂性和非线性,提出采用混沌粒子群算法进行优化求解,依据不同位置射钉测量坯壳厚度和二冷外测量铸坯表面温度相结合,优化确定了二冷换热系数和有效导热系数相应参数.最后通过在线计算铸坯表面温度与二冷出口铸坯表面测温比较,结果偏差小于13℃,验证了辨识参数的可靠性.校验后的模型成功应用于连铸机的二冷配水优化和动态控制.

关键词: 连铸, 传热模型, 参数辨识, 粒子群算法, 混沌

Abstract: Due to the complexity and nonlinearity with a partial differential equation, an identification method based on chaos particle swarm optimization (CPSO) was presented. Based on the combination of the measured shellthicknesses by nailshooting at different positions and the measured surface temperatures outside the secondary cooling chamber, parameters related to the heat transfer coefficients of secondary cooling and the effective conductivity were determined. Finally the model was verified as the difference was within the range of ±13℃ between the calculated surface temperature by online calculation and the measurements at the exit of secondary cooling chamber. The verified model was applied to the optimization and dynamic control of secondary cooling.

Key words: continuous casting, heat transfer model, parameter identification, particle swarm optimization, chaos

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