The Application of BP Neural Network to Bed Temperature Control System of CFB Boiler

Author

Wu, Jingjian ; Meng, Qingjin ; Jing, Shaohong ; Yu, Hongliang

Author_Institution

Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

The combustion in circulated fluidized-bed (CFB) boiler is a complex and multi-variables coupling process. It is too difficult to build an exact mathematic model to describe the process. Bed temperature control system is an important subsystem of burning system, maintaining normal bed temperature is the key for stable running of boiler, and it is difficult for the norm PID algorithm to control it. According to these, we use the bed temperature control system based BP neural network in DCS. The practice shows that it can improve the stability of bed temperature control system with the application of BP neural network.

Keywords

backpropagation; distributed control; fluid mechanics; fluidised beds; stability; BP neural network; CFB boiler; DCS; bed temperature control system; burning system; circulated fluidized-bed boiler; combustion; multivariables coupling process; norm PID algorithm; normal bed temperature; stability; stable running; Boilers; Combustion; Control systems; Distributed control; Fluidization; Mathematical model; Mathematics; Neural networks; Temperature control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073166

Filename

5073166