A new approach for speed estimation in induction motor drives based on a reduced-order extended Kalman filter

被引：0

作者：

Leite, AV ^{[1
]}

Araújo, RE ^{[1
]}

Freitas, D ^{[1
]}

机构：

[1] Polytech Inst Braganca, Sch Technol & Management, Braganca, Portugal

来源：

Proceedings of the IEEE-ISIE 2004, Vols 1 and 2 | 2004年

关键词：

Extended Kalman Filter; speed estimation; induction motor; sensorless 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：

This paper presents and proposes a new approach to achieve robust speed estimation in induction motor sensorless control. The estimation method is based on a reduced-order Extended Kalman Filter (EKF), instead of a full order EKF. The EKF algorithm uses a reduced-order statespace model structure that is discretized in a particular and innovative way proposed in this paper. With this model structure, only the rotor flux components are estimated, besides the rotor speed itself. Important practical aspects and new improvements are introduced that enable us to reduce the execution time of the algorithm without difficulties related to the tuning of covariance matrices, since the number of elements to be adjusted is reduced.

引用

页码：1221 / 1226

页数：6

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