DocumentCode :
530692
Title :
Study about the methods of electrodes motion control in the eaf based on intelligent control
Author :
Hui, Zhao ; Fa-Zheng, Chen ; Zhuo-qun, Zhao
Author_Institution :
Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
Volume :
4
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
68
Lastpage :
71
Abstract :
Arc furnace is highly nonlinear and nonperiodic systems, its model has a strong uncertainly, these features make the arc furnace electrode control more difficult and complex. The traditional PID controller is too dependent on precision of the mathematical model of controlled object,when it was applied to arc furnace electrode control, the result is not satisfactory. To solve this problem, this paper put forward a complex intelligent control scheme based on optimal control, fuzzy control and PID control. The simulation results show that the scheme can meet the EAF electrode regulation requirements. Three-phase electrode works smoothly in balance area and reduce energy consumption and electrode loss effectively. The project was supported by National High-tech R&D Program (863 Program) (2007AA041401), Tian Jin Natural Science Foundation (08JCZDJC18600, 09JCZDJC23900), and University Science and Technology Development Foundation of Tianjin (2006ZD32).
Keywords :
arc furnaces; electrodes; fuzzy control; intelligent control; motion control; nonlinear control systems; optimal control; periodic control; three-term control; EAF electrode regulation requirements; National High-tech R&D Program; Tian Jin Natural Science Foundation; University Science and Technology Development Foundation of Tianjin; arc furnace electrode control; complex intelligent control scheme; controlled object; eaf based on intelligent control; electrode loss; electrodes motion control; energy consumption; fuzzy control; nonlinear systems; nonperiodic systems; optimal control; three-phase electrode; traditional PID controller; Electrodes; Fuzzy control; Mathematical model; Niobium; Regulators; EAF; Electrode control; Fuzzy control; GA; Intelligent Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5610213
Filename :
5610213
Link To Document :
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