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隔离型热管换热节能系统的稳态建模与参数估计

王瑞华, 王普

王瑞华, 王普. 隔离型热管换热节能系统的稳态建模与参数估计[J]. 北京工业大学学报, 2013, 39(6): 835-839.
引用本文: 王瑞华, 王普. 隔离型热管换热节能系统的稳态建模与参数估计[J]. 北京工业大学学报, 2013, 39(6): 835-839.
WANG Rui-hua, WANG Pu. Steady-state Modeling and Parameter Estimation of Isolated Heat Pipe Heat-exchange Energy-saving System[J]. Journal of Beijing University of Technology, 2013, 39(6): 835-839.
Citation: WANG Rui-hua, WANG Pu. Steady-state Modeling and Parameter Estimation of Isolated Heat Pipe Heat-exchange Energy-saving System[J]. Journal of Beijing University of Technology, 2013, 39(6): 835-839.

隔离型热管换热节能系统的稳态建模与参数估计

基金项目: 

国家自然科学基金资助项目(60974133).

详细信息
    作者简介:

    王瑞华(1974-),男,博士研究生,工程师,主要从事空调系统节能控制方面的研究,E-mail:wangruihua@bjut.edu.cn.

  • 中图分类号: TP271+.3

Steady-state Modeling and Parameter Estimation of Isolated Heat Pipe Heat-exchange Energy-saving System

  • 摘要: 采用机理分析法建立了隔离型热管换热节能系统的稳态模型.对于机理方程中的未知关键参数,基于系统实际运行数据,采用粒子群优化算法和限定记忆的递推算法对未知参数进行了估计.针对模型参数的变化问题,采用RBF神经网络建立了系统输入变量与模型参数的定量关系,使用现场数据验证了方法的有效性.获得了换热节能系统比较精确的模型.为进一步的系统分析与实时优化打下了基础.
    Abstract: The steady state model of the heat pipe heat-exchange system is built using the mechanism analysis approach.For the unknown key parameter estimation in modeling,the particle swarm optimization algorithm and recursion algorithm with restricted memory are used based on the actual running data.Because of the change of model parameter,a RBF neural network is used to build a quantitative relationship between input variable and model parameter,and the validity of this method is verified using field data.Finally,a precise steady-state model is obtained.It lays a solid foundation for further system analysis and real time optimization.
  • [1] 谢代锋,葛俊,杨栋.智能热交换器与空调系统构建的“绿色基站”解决方案与实践[J].信息通信技术,2009,3(4):39-43.XIE Dai-feng,GE Jun,YANG Dong.The solution and thepractice of“green station”by using the intelligence heatexchanger and the air-condition system[J].Informationand Communications Technologies,2009,3(4):39-43.(in Chinese)
    [2] 许磊,陈超,管勇,等.自然冷却换热技术在电信行业通信机房空调系统中的应用研究[J].制冷与空调,2010,10(5):85-89.XU Lei,CHEN Chao,GUAN Yong,et al.Applicationresearch of using natural cooling technology to air-conditioning system for the telecommunication rooms[J].Refrigeration and Air conditioning,2010,10(5):85-89.(in Chinese)
    [3] 鲍玲玲.通信基站用空气换热器的研究[D].邯郸:河北工程大学城建学院,2008:63-65.BAO Ling-ling.Study on air heat exchanger incommunication base station[D].Handan:School of UrbanConstruction,Hebei University of Engineering,2008.(inChinese)
    [4] 俞金寿,蒋慰孙.过程控制工程[M].北京:电子工业出版社,2007:195-198.
    [5] 孙优贤,邵惠鹤.工业过程控制技术[M].北京:化学工业出版社,2006:15-16.
    [6] 栗伟,苏宏业,刘瑞兰.粒子群优化算法在催化裂化模型参数估计中的应用[J].化工学报,2010,61(8):1927-1932.LI Wei,SU Hong-ye,LIU Rui-lan.Parameter estimationof catalytic cracking model using PSO algorithm[J].CIESC Journal,2010,61(8):1927-1932.(in Chinese)
    [7] 薛尧予,王建林,于涛,等.基于改进PSO算法的发酵过程模型参数估计[J].仪器仪表学报,2010,31(1):178-182.XUE Yao-yu,WANG Jian-lin,YU Tao,et al.Parameterestimation of fermentation process model based on animproved PSO algorithm[J].Chinese Journal of ScientificInstrument,2010,31(1):178-182.(in Chinese)
    [8] 潘立登,潘仰东.系统辨识与建模[M].北京:化学工业出版社,2004:104-106.
    [9] 王凌,李令莱,郑大钟.非线性系统参数估计的一类有效搜索策略[J].自动化学报,2003,29(6):953-958.WANG Ling,LI Ling-lai,ZHENG Da-zhong.A class ofeffective search strategies for parameter estimation ofnonlinear systems[J].Acta Automatica Sinica,2003,29(6):953-958.(in Chinese)
    [10] 唐焕文,秦学志.实用最优化方法[M].3版.大连:大连理工大学出版社,2004:113-138.
    [11] 陈高波,杨小红.自适应粒子群算法在非线性回归中的应用[J].武汉工业学院学报,2010,29(1):100-102.CHEN Gao-bo,YANG Xiao-hong.Application innonlinear regression of adaptive particle swarmoptimization[J].Journal of Wuhan PolytechnicUniversity,2010,29(1):100-102.(in Chinese)
    [12] 马翔,陈新楚,王邵伯.均匀设计法在RBF神经网络样本优选中的应用[J].模式识别与人工智能,2005,18(2):252-255MA Xiang,CHEN Xin-chu,WANG Shao-bo.Application of the uniform design to the optimal selectionof samples for RBF neural networks[J].PatternRecognition and Artificial Intelligence,2005,18(2):252-255.(in Chinese)
    [13] 韩力群.人工神经网络理论、设计及应用[M].北京:化学工业出版社,2002:53-54.
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出版历程
  • 收稿日期:  2012-08-29
  • 网络出版日期:  2022-11-02

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