DocumentCode
2197226
Title
Boiler Optimized Combustion Control Strategy Based on GA PID Neural Network
Author
Gai, Yonggang
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2010
fDate
1-3 Nov. 2010
Firstpage
327
Lastpage
330
Abstract
According to the combustion control system of industry boiler with large time delay and nonlinear, a kind of combustion system of industry boiler based on GA PID neural network controller design method is proposed in this paper. The boiler model is given and the comparison is made between GA PID neural network controller and the traditional PID controller. The simulation results indicate that the new controller has good performance of strong robustness and disturbance resisting ability than traditional PID controller.
Keywords
boilers; genetic algorithms; neural nets; optimal control; three-term control; GA PID neural network; boiler optimized combustion control strategy; industry boiler; large time delay; nonlinear system; Decoupled control; GA; PID neural network; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-8548-2
Electronic_ISBN
978-0-7695-4249-2
Type
conf
DOI
10.1109/ICINIS.2010.178
Filename
5693551
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