Modeling of the Combustion Optimizing Based on RBF Neural Networks

被引：0
|
作者：
Chen, Lei [1 ]
Xie, Youcheng [1 ]
Shen, Zhongli [1 ]
Fu, Huilin [1 ]
机构：
[1] Changsha Univ Sci & Technol, Coll Energy & Power Engn, Changsha 410076, Hunan, Peoples R China
来源：
2008 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CCCM.2008.327
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A combustion optimizing model based on RBF neural networks is set up, and the optimizations of providing coal volume and real generating electricity power are actualized At the same time the simulation model is established by MATLAB. The simulation research is processed The simulation result indicates:in the stabilization state, if the boiler load, power plant coal character(the distinctness of coal heat glowing volume),combustion supplying air volume or combustion inducing air volume changes the combustion optimizing model based on RBF neural networks can find the optimum values of providing coal volume and real generating electricity power. This result lays a strong base for optimal control and on-line prediction of the boiler.
引用
收藏
页码：95 / 98
页数：4
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