Speed Estimation Method of Permanent Magnet Synchronous Motor Based on Adaptive Unscented Kalman Filter

被引：0

作者：

Yin, Zhonggang ^{[1
]}

Gao, Fengtao ^{[1
]}

Zhang, Yanping ^{[1
]}

Hou, Jie ^{[1
]}

机构：

[1] Xian Univ Technol, Dept Elect Engn, Xian, Shaanxi, Peoples R China

来源：

2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC) | 2018年

基金：

中国国家自然科学基金;

关键词：

Speed identification; AUKF; PMSM; Adaptive factor; INDUCTION-MOTOR; STATE ESTIMATION;

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 studies a speed identification method using adaptive unscented Kalman filter (AUKF) for permanent magnet synchronous motor(PMSM) sensorless drive. In AUKF, the adaptive factor can not only adaptively balance the weights of the state equation forecast information and observation information, but also adjust the influence of the system model disturbance on the filtering. Therefore, the stability of sensorless control system for PMSM can be improved. The correctness and the effectiveness of the proposed strategy are tested by experimental results.

引用

页码：173 / 178

页数：6

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