Improved MRAS Parameter Identification Method for PMSM Based on Permanent Magnet Flux Linkage Free Model

被引：5
|
作者：
Zhao, Shengqi [1 ]
Huang, Xiaoyan [1 ]
Hu, Qichao [1 ]
Li, Zhaokai [1 ]
机构：
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Peoples R China
来源：
2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022) | 2022年
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
parameter identification; MRAS; PMSM;
D O I：
10.1109/ICEMS56177.2022.9982909
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：
In this paper, an improved model reference adaptive system (MRAS) method is proposed, taking the flux linkage free permanent magnet synchronous motor (PMSM) model as a reference model to identify stator resistance and stator inductance online. The negative impact of permanent magnet flux linkage error on other parameters identification is avoid. According to MATLAB/Simulink simulation, the proposed parameter identification method can achieve high identification steady accuracy and dynamic response, which proves the effectiveness of this method.
引用
收藏
页数：4
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