Comparative study of nonlinear speed observers for induction motors

被引：0

作者：

Gallegos-Lara, M. A. ^{[1
]}

Alvarez-Salas, R. ^{[1
]}

Nunez-Gutierrez, C. A. ^{[1
]}

机构：

[1] Univ Autonoma San Luis Potosi, CIEP Fac Ingn, San Luis Potosi 78290, SLP, Mexico

来源：

INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE | 2007年 / 2卷 / 03期

关键词：

induction motor; speed observers; Kalman Filter; Model Reference Adaptive System;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the speed estimation problem of induction motors. Performance comparison of two speed estimation methods used in speed sensorless vector controllers is presented Both Kalman Filter (KF) and Model Reference Adaptive System (MRAS) are the estimation algorithms discussed and compared in the same operating conditions. The comparative study is done by taking into account the convergence velocity, sensitivity to parametric variations and behavior in the low speed region. Experimental tests have been carried out in identical conditions in order to obtain a reliable comparison. Copyright (C) 2007 Praise Worthy Prize S.r.l. - All rights reserved.

引用

页码：378 / 385

页数：8

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