Neural identification and control of a linear induction motor using an α-β model

被引:0
|
作者
Benitez, VH [1 ]
Loukianov, AG [1 ]
Sanchez, EN [1 ]
机构
[1] CINVESTAV, Unidad Guadalajara, Guadalajara 45091, Jalisco, Mexico
关键词
dynamic neural networks; variable structure systems; nonlinear systems; identification; block control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.
引用
收藏
页码:4041 / 4046
页数:6
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