Component content soft-sensor based on hybrid models in countercurrent rare earth extraction process

被引:0
作者
Yang, H [1 ]
Wang, X
机构
[1] E China Jiaotong Univ, Sch Elect & Elect Engn, Nanchang 330013, Peoples R China
[2] Shanghai Jiao Tong Univ, Ctr Elect & Elect Technol, Shanghai 200030, Peoples R China
来源
JOURNAL OF RARE EARTHS | 2005年 / 23卷
关键词
countercurrent extraction; soft-sensor; equilibrium calculation model; RBF neural networks; hierarchical genetic algorithms; rare earths;
D O I
暂无
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth component content. The hybrid models were composed of the extraction equilibrium calculation model and the Radial Basis Function (RBF) Neural Network (NN) error compensation model; the parameters of compensation model were optimized by the hierarchical genetic algorithms (HGA). In addition, application experiment research of this proposed method was carried out in the rare earth separation production process of a corporation. The result shows that this method is effective and can realize online measurement for the component content of rare earth in the countercurrent extraction.
引用
收藏
页码:86 / 91
页数:6
相关论文
共 10 条
[1]  
[Anonymous], 1999, NEURAL NETWORKS COMP
[2]  
Chai Tianyou, 1999, CHINESE J NONFERROUS, V9, P868
[3]  
CHAI TY, 2004, J RARE EARTH, V22, P590
[4]  
HU LH, 2000, JINGXI METALLURGY, V20, P36
[5]  
TAN YJ, 1991, ATOMIC ENERGY TECHNO, V25, P18
[6]   Minimal fuzzy memberships and rules using hierarchical genetic algorithms [J].
Tang, KS ;
Man, KF ;
Liu, ZF ;
Kwong, S .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1998, 45 (01) :162-169
[7]  
Wang X, 2004, LECT NOTES COMPUT SC, V3174, P848
[8]  
XU GX, 1995, REAR EARTHS
[9]  
Yan C. H., 1997, RARE EARTH, V18, P37
[10]  
Yang H, 2003, J RARE EARTH, V21, P691