东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (1): 5-9.DOI: 10.12068/j.issn.1005-3026.2014.01.002

• 信息与控制 • 上一篇    下一篇

基于机理和子空间辨识的煤气混合过程集成建模

袁艳1,2，曹原1,2，曹卫华1,2，马休1,2   

  1. (1.中南大学 信息科学与工程学院， 湖南 长沙410083； 2.中南大学 先进控制与智能自动化湖南省工程实验室， 湖南 长沙410083)
  • 收稿日期:2013-05-07 修回日期:2013-05-07 出版日期:2014-01-15 发布日期:2013-07-09
  • 通讯作者: 袁艳
  • 作者简介:袁艳(1972-)，女，湖南长沙人，中南大学副教授，博士；曹卫华(1972-)，男，河南周口人，中南大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61273102).

Integrated Modeling Based on Mechanism and Subspace Identification for Gas Mixing Process

YUAN Yan1,2， CAO Yuan1,2， CAO Weihua1,2， MA Xiu1,2   

  1. 1. School of Information Science and Engineering， Central South University， Changsha 410083， China; 2. Hunan Engineering Laboratory for Advanced Control and Intelligent Automation， Central South University， Changsha 410083， China.
  • Received:2013-05-07 Revised:2013-05-07 Online:2014-01-15 Published:2013-07-09
  • Contact: CAO Weihua
  • About author:-
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摘要： 针对煤气混合过程特点，建立了基于机理和子空间辨识的集成模型.首先在分析生产工艺和数据基础上，利用蝶阀流量公式建立高炉煤气和焦炉煤气流量机理模型；然后以高炉管道2#阀和焦炉管2#阀开度、高炉煤气和焦炉煤气气源压力为输入，混合煤气压力为输出，建立4输入1输出子空间辨识模型；最后分析各子模型特点，将两种模型进行集成.仿真结果表明，所建立的模型能够有效地反映煤气混合过程的动态特性，为煤气混合过程控制提供可靠的模型基础.

关键词: 煤气混合, 机理建模, 子空间辨识, 集成建模, 煤气压力

Abstract: According to the characteristics of the gas mixing process， an integrated model was set up based on mechanism and subspace identification. Firstly， on the basis of analyzing the practical operation and data， the mechanism models of the gas flow of blast furnace and coke oven were acquired by applying butterfly valve flow formula. Then datadriven subspace identification method was used to set up the 4input and 1output mixing gas pressure model. The output was the pressure of the mixed gas， and the inputs were the two gas source pressures and two valves opening of No2 in the blast furnace and the code oven. At last， through analyzing the characteristics of the variables of each submodel， the two models were integrated. The simulation results showed that the model could reflect the dynamic behavior of gas mixing process， and provided reliable model for gas mixing process control.

Key words: gas mixing, mechanism modeling, subspace identification, integrated modeling, gas pressure

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