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基于混沌粒子群算法的连铸传热模型参数辨识 被引量：4

Parameter Identification of Heat Transfer Model for Continuous Casting Billets Based on Chaos Particle Swarm Optimization
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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. 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.
作者 阳剑 孟红记 纪振平 谢植
机构地区 东北大学信息科学与工程学院 沈阳理工大学信息科学与工程学院
出处 《东北大学学报（自然科学版）》 EI CAS CSCD 北大核心 2014年第5期613-616,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(61273178)
关键词 连铸 传热模型 参数辨识 粒子群算法 混沌 continuous casting heat transfer model parameter identification particle swarmoptimization chaos
分类号 TP18 [自动化与计算机技术—控制理论与控制工程] TF777 [冶金工程—钢铁冶金]
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参考文献9

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二级参考文献18

  • 1李宁,刘飞,孙德宝.基于带变异算子粒子群优化算法的约束布局优化研究[J].计算机学报,2004,27(7):897-903. 被引量：74
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共引文献75

同被引文献18

  • 1巫英伟,卢义,索晓娜,王秋旺.板坯连铸二冷区表面传热系数的预测方法[J].西安交通大学学报,2006,40(1):26-30. 被引量：9
  • 2常玉清,王福利,王小刚,吕哲.基于支持向量机的软测量方法及其在生化过程中的应用[J].仪器仪表学报,2006,27(3):241-244. 被引量：28
  • 3孟红记,郑鹏,武荣阳,谢植.基于改进PSO算法的连铸二冷过程优化仿真[J].系统仿真学报,2006,18(4):866-869. 被引量：6
  • 4Spltzer K H, Harste K, Weber B, et al. Mathematical Model for Thermal Tracking and On - line Control inContinuous Casting[ J]. ISIJ International, 1992, 32 (7): 848-856.
  • 5Brimaeombe J K. The Challenge of Quality in Continu- ous Casting Processes[J]. Metallurgical and Materials Transactions B, 1999, 30(4) : 553 - 566.
  • 6Stota D. Reconstruction of the Heat Transfer Coefficient on the Grounds of Experimental Data [ J ]. Journal of Achievements in Materials and Manufacturing Engi- neering, 2009, 34( 1 ) :63 - 70.
  • 7Louhenkilpi S, Laitinen E, Nieminen R. Real-time Simulation of Heat Transfer in Continuous Casting[ J ]. Metallurgical Transactions B, 1993, 24 (4) : 685- 693.
  • 8Eberhart R,Kennedy J. A New Optimizer Using Parti- cle Swarm Theory[ C ]. Proceedings of the Sixth Inter- national Symposium on Micro Machine and Human Sci- ence. Nogoy : IEEE, 1995 : 39 - 43.
  • 9Jiang C W, Bompard E. A Hybrid Method of Chaotic particle Swarm Optimization and Linear Interior for Re- active Power Optimisation[ J]. Mathematics and Com- puters in Simulation, 2005, 68 (1/3) : 57 65.
  • 10耿增显,柴天佑.基于LS-SVM的浮选过程工艺技术指标软测量[J].系统仿真学报,2008,20(23):6321-6324. 被引量：8

引证文献4

二级引证文献2

东北大学学报（自然科学版）
2014年 第5期

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