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

来源：

PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2003年

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

页码：4041 / 4046

页数：6

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