Application of The Control Scheme Based on RBF Inverse Dynamic Identificationin Electrode System of Ladle Furnace

摘要：

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.

关键词： electrode system in LF RBFN inverse dynamic identification on-line decoupling WinAC

作者: Shaode ZHANG Xiao ZHENG

作者单位: Anhui University of Technology, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）