Speed Sensorless Vector Control of Induction Motor Based on Robust Extended Kalman Filter

被引：0
|
作者：
Yin Zhonggang [1 ]
Zhao Chang [1 ]
Zhong Yanru [1 ]
Li Lidong [1 ]
机构：
[1] Xian Univ Technol, Dept Elect Engn, Xian 710048, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
Robust Extended Kalman Filter; Induction Motor; Speed Estimated; Vector 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：
A novel speed sensorless vector control of induction motor based on robust extended Kalman filter(REKF) is proposed in this paper. Whether REKF can give better estimation performance and robust ability than EKF for speed and flux estimation of induction machines is explored. The speed estimated error and the flux fluctuation of REKF by gross external disturbance and internal estimated error is compared with EKF. The simulation results show that REKF has the better estimation performance of anti-gross error than EKF.
引用
收藏
页码：2989 / 2993
页数：5
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