DocumentCode :
2492541
Title :
Intelligent control research to combustion-supporting air flux in supercharged boiler
Author :
Zhu, Qidan ; Zhang, Jingqiao ; Zhang, Yu
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5530
Lastpage :
5534
Abstract :
Turbine supercharged set is used to supply high pressure combustion-supporting air. But the control for combustion-supporting air flux is a control with the characteristics of time-varying and nonlinearity and complex coupling. It is difficult to get the good performance through the traditional control mode. Evaluating of the characteristics of fuzzy control with quick dynamic response, good robustness and neural network control with good study capability, good generalization capability, a fuzzy CMAC parallel controller based on GA is presented in this paper. The mathematic model of the air flux is presented; Simulation results show the validity, good stability and control performance of the proposed strategy.
Keywords :
boilers; cerebellar model arithmetic computers; combustion; fuzzy control; intelligent control; neurocontrollers; nonlinear control systems; combustion-supporting air flux; fuzzy CMAC parallel controller; fuzzy control; intelligent control; neural network control; nonlinearity control; supercharged boiler; time-varying control; turbine supercharged set; Boilers; Couplings; Fuzzy control; Fuzzy neural networks; Intelligent control; Mathematical model; Mathematics; Neural networks; Robust control; Turbines; FUZZY-CMAC; combustion-supporting air flow; genetic algorithm; supercharged boiler; turbine supercharged set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593831
Filename :
4593831
Link To Document :
بازگشت