Application of The Control Scheme based on RBF Inverse Dynamic Identification in Electrode System of Ladle Furnace

Abstract

RBF neural network ( RBFN ) based on nearest neighbor clustering algorithm is applied for three phase electrode system in Ladle Furnace ( LF ). Real time on line inverse identification and indirect decoupling of LF three phase electrode system is realized. Hereon, the inverse identification model is applied as inverse control model. The scheme of inverse control based on RBFN and PD control is designed, which is applied to LF electrode system successfully in third iron steel plant of Maanshan P.R.China.