Real-time output trajectory tracking neural sliding mode controller for induction motors

被引：7

作者：

Alanis, Alma Y. ^{[1
]}

Sanchez, Edgar N. ^{[2
]}

Loukianov, Alexander G. ^{[2
]}

机构：

[1] Univ Guadalajara, CUCEI, Zapopan 45080, Jalisco, Mexico

[2] CINVESTAV, Unidad Guadalajara, Guadalajara 45091, Jalisco, Mexico

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2014年 / 351卷 / 04期

关键词：

DESIGN; STATE;

D O I：

10.1016/j.jfranklin.2013.05.018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with real-time discrete adaptive output trajectory tracking for induction motors in the presence of bounded disturbances. A recurrent high order neural network structure is used to design a nonlinear observer and based on this model, a discrete-time control law is derived, which combines discrete-time block control and sliding modes techniques. Applicability of the scheme is illustrated via experimental results in real-time for a three phase induction motor. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved

引用

页码：2315 / 2334

页数：20

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