Application and simulation of neural nets in combustion system of circulating fluidized bed boiler

Author

Xiao-peng Zhao ; Chao-Ying Liu ; Xue-Ling Song ; Huan Yao

Author_Institution

Coll. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

79

Lastpage

82

Abstract

The combustion control of circulating fluidized bed boiler (CFBB) is an important but difficult link of its control system. An algorithm is introduced here, in which parameters of the PID controller are optimized online by BP neural networks and the programming steps are described. The mathematical models of combustion system of CFBB are analyzed. And both the simulation of conventional PID and BP-PID control algorithm are carried out in the combustion system of CFBB, it proved that this algorithm is valid and feasible.

Keywords

backpropagation; boilers; combustion; fluidised beds; neurocontrollers; three-term control; BP neural network; BP-PID control algorithm; CFBB; PID controller parameter; combustion control system; fluidized bed boiler circulation; mathematical model; neural nets simulation; Biological neural networks; Boilers; Combustion; Mathematical model; Neurons; BP network; PID controller; circulating fluidized bed boiler; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022066

Filename

6022066