Title :
Application of Double Model Control Scheme based on RBF Inverse Identification in Electrode System of Electrical Arc Furnace
Author :
Zhang, Shaode ; Zheng, Xiao
Author_Institution :
Anhui Univ. of Technol., Anhui
Abstract :
RBF neural network (RBFN) based on nearest neighbor clustering algorithm is applied for three-phase electrode system in Electrical Arc Furnace(EAF). The double model control scheme of variable structure based on RBFN inverse control and PD control with adaptive parameter is provided. This scheme is applied to EAF electrode system successfully in third iron-steel plant of Ma´anshan P.R. China.
Keywords :
PD control; arc furnaces; identification; neurocontrollers; process control; radial basis function networks; PD control; RBF inverse identification; RBF neural network; double model control scheme; electrical arc furnace; inverse control; nearest neighbor clustering algorithm; three-phase electrode system; Adaptive control; Control system synthesis; Control systems; Delay effects; Electric variables control; Electrodes; Furnaces; Neural networks; PD control; Programmable control; RBFN; WinAC; double model control; electrode system in EAF; inverse dynamic identification; on-line decoupling;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338612
