Comparison of two nonlinear speed observers for induction motors

被引：0

作者：

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

Alvarez, R. ^{[1
]}

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

Perez-Pinal, F. ^{[1
]}

机构：

[1] Univ Autonoma San Luis Potosi, Fac Ingn, CIEP, Av Dr Manuel Nava No 8, San Luis Potosi 78290, Mexico

来源：

IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11 | 2006年

关键词：

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：

In this paper, the performances of two rotor flux and speed estimation methods used in speed sensorless vector controllers of induction motors are compared. Both Kalman Filter (KF) and Model Reference Adaptive System (MRAS) are the estimation methods discused and compared at the same conditions. The comparative study is done by means of stability, sensitivity to parameter variation and behavior in the low speed region taking into account the drawbacks inherent to this operating condition. Computer simulations and experimental tests have been carried out in identical conditions in order to realize a reliable comparison.

引用

页码：4123 / +

页数：2

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