A NEW EKF-BASED ALGORITHM FOR FLUX ESTIMATION IN INDUCTION MACHINES

被引：75

作者：

SALVATORE, L

STASI, S

TARCHIONI, L

机构：

[1] Department of Electrotechnics and Electronics, Polytechnic of Bari, Bari

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1993年 / 40卷 / 05期

关键词：

D O I：

10.1109/41.238018

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new reduced-order algorithm to be used to estimate the rotor flux components of induction motors with schemes such as field-oriented control is described in this paper. The algorithm is based on the extended Kalman filter theory and estimates the desired quantities on line by using only measurements of the stator voltages and currents, and rotor speed. The on-line adaptation of the inverse rotor time constant makes it possible to obtain very accurate estimates of rotor flux components, in spite of temperature and magnetic saturation effects. The algorithm order reduction decreases the computational complexity and makes the proposed estimator superior to the other ones based on the EKF theory.

引用

页码：496 / 504

页数：9

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