Title :
Intelligent optimizing setting control method for shaft furnace roasting process
Author :
Yan, Ai-Jun ; Xu, Zhe ; Wang, Pu
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
Due to its synthetic and complex characters, such as multivariable, strong coupling, nonlinearity, the shaft furnace roasting process is very difficult to control in optimizing mode. To deal with this problem, a hybrid intelligent optimizing setting control approach is developed. The set points in control loops are produced by the methodology of case-based reasoning (CBR), followed by real-time appraisal and correction for the purpose of the optimizing on integrated production indices. The proposed method realized the optimizing control for integrated production indices. The successful application on shaft furnaces from a mineral processing plant in China indicates effectiveness of the proposed method.
Keywords :
case-based reasoning; control engineering computing; furnaces; intelligent control; mineral processing industry; multivariable control systems; nonlinear control systems; production engineering computing; case-based reasoning; integrated production indices; intelligent control; mineral processing plant; multivariable characteristic; nonlinear characteristic; optimizing setting control; shaft furnace roasting process; strong coupling characteristic; Control systems; Furnaces; Intelligent control; Open loop systems; Optimal control; Optimization methods; Production; Shafts; Temperature control; Thermal variables control; Intelligent Control; Optimizing Setting; Shaft Furnace;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498753