Speed estimation of an induction motor drive using extended Kalman filter

被引：0

作者：

Shi, KL ^{[1
]}

Chan, TF ^{[1
]}

Wong, YK ^{[1
]}

Ho, SL ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China

来源：

2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS | 2000年

关键词：

induction motor drives; sensorless control; Kalman filter;

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 presents a detailed study of the extended Kalman filter (EKF) for estimating the rotor speed of an induction motor drive. The general structure of the Kalman filter ii, reviewed and the various system vectors and matrices are defined. By including the rotor speed as a state variable, the EKF equations are established from a discrete two-axis model of the three-phase induction motor. Using the software MATIAB/Simulink, simulation of the EKF speed estimation algorithm is carried out for an induction motor drive with constant V/Hz frequency control and an induction motor drive with direct self control. The investigations show that the EKF is capable of tracking the actual rotor speed provided that the elements of the covariance matrices are properly selected. Moreover, the performance of the EKF is satisfactory even in the presence of noise or when there are variations in the induction machine parameters.

引用

页码：243 / 248

页数：4

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