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基于现场数据和神经网络火电机组汽压动态模型的建立及仿真
引用本文:张小桃,王爱军,倪维斗. 基于现场数据和神经网络火电机组汽压动态模型的建立及仿真[J]. 汽轮机技术, 2007, 49(3): 208-209,213
作者姓名:张小桃  王爱军  倪维斗
作者单位:华北水利水电学院,郑州,450011;清华大学,北京,100084
基金项目:河南省教育厅自然科学基金;华北水利水电学院校科研和教改项目;华北水利水电学院校科研和教改项目;河南省新世纪优秀人才支持计划
摘    要:
基于现场数据与神经网络的建模理论,建立了火电机组汽包压力与主汽压力的动态模型,并对所建立的汽压增量模型进行了仿真研究。仿真结果表明,模型能够反映汽压的真实变化过程,所采用的建模方法科学合理。

关 键 词:汽压  现场数据  神经网络  动态模型  仿真
文章编号:1001-5884(2007)03-0208-02
修稿时间:2006-08-20

Dynamic Modeling and Simulation of Unit's Steam Pressure Based on On-line Data and Neural Network
ZHANG Xiao-tao,WANG Ai-jun,NI Wei-dou. Dynamic Modeling and Simulation of Unit's Steam Pressure Based on On-line Data and Neural Network[J]. Turbine Technology, 2007, 49(3): 208-209,213
Authors:ZHANG Xiao-tao  WANG Ai-jun  NI Wei-dou
Affiliation:1 North China University of Water Conservancy and Electric Power,Zhengzhou 450011, China; 2 Tsinghua University, Beijing 100084, China
Abstract:
Based on on-line data and the modeling theory of neural network,the dynamic models of drum steam pressure and main steam pressure are established.The models of increment pressure are also been studied by simulation.The simulation results show that the models can reflect the dynamic process factually and the proposed modeling method is reasonable.
Keywords:steam pressure  on-line data  neural network  dynamic model  simulation
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