Modeling of the Combustion Optimizing Based on Fuzzy Neural Networks

Author

Fu Huilin ; Xie Youcheng ; Chen Lei ; Shen Zhongli

Author_Institution

Sch. of Energy & Power Eng., Changsha Univ. of Sci. & Technol., Changsha

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

66

Lastpage

69

Abstract

A combustion optimizing model based on fuzzy neural networks is set up, and the optimization of providing coal volume is 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 fuzzy neural networks can find the optimum value of providing coal volume. This result lays a strong base for optimal control and on-line prediction of the boiler.

Keywords

boilers; coal; combustion; fuzzy neural nets; fuzzy set theory; power engineering computing; coal volume; combustion optimizing model; fuzzy neural network; Boilers; Combustion; Educational institutions; Fuzzy control; Fuzzy neural networks; Information technology; Intelligent networks; Mathematical model; Power engineering and energy; Power generation; combustion; fuzzy neural networks; optimizing; power plant;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3505-0

Type

conf

DOI

10.1109/IITA.Workshops.2008.199

Filename

4731882