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作者:

Yan, Aijun (Yan, Aijun.) (学者:严爱军) | Chai, Tianyou (Chai, Tianyou.) | Yu, Wen (Yu, Wen.) | Xu, Zhe (Xu, Zhe.)

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摘要:

A hybrid intelligent control optimization method based on multi-objective evaluation (MOE) is proposed to control the production indices of a process and maintain them in their desired range. This method consists of a loop control layer with an air-fuel ratio adjustment model and a setting layer. The set points of the control loops are produced by case-based reasoning (CBR) and followed by the closed loop. These set points are also adjusted through the real-time evaluation and online correction. The proposed approach has been applied to the roasting process and its effectiveness has been verified by the results of practical application. (C) 2012 Elsevier Ltd. All rights reserved.

关键词:

Shaft furnace Multi-objective evaluation Case-based reasoning Production indices Optimization

作者机构:

  • [ 1 ] [Yan, Aijun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Xu, Zhe]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Chai, Tianyou]Northeastern Univ, Ctr Automat Res, Shenyang 110004, Peoples R China
  • [ 4 ] [Yu, Wen]CINVESTAV IPN, Dept Control Automat, Mexico City 07360, DF, Mexico

通讯作者信息:

  • 严爱军

    [Yan, Aijun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

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来源 :

CONTROL ENGINEERING PRACTICE

ISSN: 0967-0661

年份: 2012

期: 9

卷: 20

页码: 857-868

4 . 9 0 0

JCR@2022

ESI学科: ENGINEERING;

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 15

SCOPUS被引频次: 25

ESI高被引论文在榜: 0 展开所有

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