DocumentCode :
553977
Title :
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
Link To Document :
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