Title :
Intelligent-fusion control strategy for industrial heating furnace system
Author :
Wang, Jing ; Bi, Jianchao
Author_Institution :
Dept. of Comput. Applic., Chongqing Coll. of Electron. Eng., Chongqing, China
Abstract :
Aimed at the control puzzle resulted in complicated characteristic in the industrial heating furnace system, the paper presented an intelligent fusion strategy based on human-simulated control. In the paper, it first made an anatomy and pointed out that the traditional control strategy is unsuitable for controlling the complex system, and then decomposed the complex system into the operation control unit by means of decomposition-coordination principle for large-scale complex control system of industrial heat furnace, and constructed the fusion control algorithm based on human-simulated intelligence, finally the experiment of simulation comparison was made for designed algorithm. The result shows that it is better in control quality, stronger in robustness, higher in control accuracy, and more suitable for uncertainty system control of industrial heat furnace.
Keywords :
blast furnaces; intelligent control; large-scale systems; decomposition-coordination principle; human-simulated control; human-simulated intelligence; industrial heating furnace system; intelligent-fusion control strategy; large-scale complex control system; Attenuation; Furnaces; Heating; Humans; Mathematical model; Process control; complex system control; fusion control strategy; industrial heat furnace; uncertainty complex objects;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970544