DocumentCode :
582108
Title :
The comparison between single BPNN-based method and data-based HDP method for decomposition furnace optimal control
Author :
Baosheng, Yang ; Qian, Zhang ; Wansu, Liu
Author_Institution :
Lab. of Intell. Inf. Process., Suzhou Univ., Suzhou, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
3329
Lastpage :
3334
Abstract :
Cement decomposition furnace is a complex physics equipment of multi-variable, multi-disturbance nonlinear systems involving mass transfer, heat transfer and chemical reaction. It is difficult to establish a precise mathematical model of rotary kiln, and to achieve its optimal control. Data-based HDP(Heuristic Dynamic Programming) combines HDP method and data-based control method, in the case of difficult to establish accurate mathematical model, it makes full use of the data that generated in the production process, achieve optimal control of complex control systems. Single BP neural network control was also used for temperature control of the cement decomposition furnace, then, compared the data-based heuristic dynamic programming control method with neural network direct control method, the data-based heuristic dynamic programming control method had better control result than neural network direct control method.
Keywords :
backpropagation; cement industry; chemical reactions; dynamic programming; heat transfer; heuristic programming; kilns; mass transfer; multivariable control systems; neurocontrollers; nonlinear control systems; optimal control; pyrolysis; temperature control; cement decomposition furnace; chemical reaction; complex control systems; complex physics equipment; data-based HDP method; data-based control method; data-based heuristic dynamic programming control method; heat transfer; mass transfer; mathematical model; multidisturbance nonlinear systems; multivariable systems; neural network direct control method; optimal control; production process; rotary kiln; single BP neural network control; single BPNN-based method; temperature control; Kilns; Mathematical model; Neural networks; Optimal control; Process control; Temperature control; Data; Decomposition furnace; Heuristic Dynamic Programming(HDP); Neural network; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6390497
Link To Document :
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