Application of Double Model Control Scheme based on RBF Inverse Identification in Electrode System of Electrical Arc Furnace

摘要：

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.

关键词： double model control electrode system in EAF RBFN inverse dynamic identification on-line decoupling WinAC

作者: Shaode Zhang Xiao Zheng

作者单位: School of Electrical Engineering& Information Anhui University of Technology Maanshan, AnhuiProvinc School of Computer Science & technology Anhui University of Technology Maanshan, AnhuiProvince,.Chi

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）