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
Link To Document :
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