A Sensorless Speed Estimation for Indirect Vector Control of Three-Phase Induction Motor Using Extended Kalman Filter

被引：0

作者：

Kim, JongKwang ^{[1
]}

Lee, YongKeun ^{[1
]}

Lee, JangHyeon ^{[2
]}

机构：

[1] Seoul Natl Univ Sci & Technol, Grad Sch Nano IT Design Fus, Seoul, South Korea

[2] Burnaby Mt Secondary Sch, Burnaby, BC, Canada

来源：

PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年

基金：

新加坡国家研究基金会;

关键词：

extended kalman filter; induction motor; rotor speed; rotor flux; sensorless indirect vector control;

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：

The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.

引用

页码：3087 / 3090

页数：4

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2002, 49 (01) :124-133

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