Combustion control using B-spline based furnace temperature distribution

被引：0
|
作者：
Zhang, Jian-Hua [1 ]
Tian, Bin [1 ]
Hou, Guo-Lian [1 ]
Zhang, Jin-Fang [1 ]
机构：
[1] N China Elect Power Univ, Dept Automat, Beijing 102206, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
B-spline neural networks; process control; combustion;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a closed-loop combustion control algorithm for a coal-fired boiler using the recently developed output distribution control theory. The furnace temperature distribution (FTD) is regarded as the controlled variable, which demonstrates the stability, economy and reliability of combustion process. Following the FTD obtained by Fluent simulation software, the equivalent B-spline FTD model is then established. Consequently, the control strategy is provided so as to ensure the output FTD will follow the desired distribution. The simulation study shows the effectiveness of the proposed approach.
引用
收藏
页码：509 / 513
页数：5
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