Estimation of speed, stator temperature and rotor temperature in cage induction motor drive using the extended Kalman filter algorithm

被引：29

作者：

Al-Tayie, JK ^{[1
]}

Acarnley, PP ^{[1
]}

机构：

[1] Univ Newcastle Upon Tyne, Dept Elect & Elect Engn, Elect Dr & Machines Grp, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

来源：

IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS | 1997年 / 144卷 / 05期

关键词：

induction machines; Kalman filter; speed estimation; temperature estimation;

D O I：

10.1049/ip-epa:19971166

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：

Application of the extended Kalman filter (EKF) algorithm to the estimation of speed, stator temperature and rotor temperature in induction motor drives is described. The estimation technique is based on a closed-loop observer that incorporates mathematical models of the electrical, mechanical and thermal processes occurring within the induction motor. Speed and temperature estimation is independent of the drive's operating mode, though closed-loop estimation is possible only if stator currents are nonzero. The EKF algorithm used to perform the estimation process has been implemented using a TMS320C30 digital signal processor and experimental results demonstrate the effectiveness of the new estimation algorithm.

引用

页码：301 / 309

页数：9

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