A Coupled Recursive Total Least Squares-Based Online Parameter Estimation for PMSM

被引：8

作者：

Wang, Yangding ^{[2
]}

Xu, Shen ^{[1
]}

Huang, Hai ^{[3
]}

Guo, Yiping ^{[2
]}

Jin, Hai ^{[3
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Zhejiang, Peoples R China

[2] Ningbo Acad Prod Qual Supervis & Inspect, Ningbo, Zhejiang, Peoples R China

[3] Zhejiang Sci Tech Univ, Sch Informat & Technol, Hangzhou, Zhejiang, Peoples R China

来源：

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2018年 / 13卷 / 06期

关键词：

Online parameter estimation; Permanent magnet synchronous machine (PMSM); Total least squares (TLS); Singular value decomposition (SVD); MAGNET SYNCHRONOUS MOTOR; ALGORITHM; IDENTIFICATION; SATURATION;

D O I：

10.5370/JEET.2018.13.6.2344

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：

A coupled recursive total least squares (CRTLS) algorithm is proposed for parameter estimation of permanent magnet synchronous machines (PMSMs). TLS considers the errors of both input variables and output ones, and thus achieves more accurate estimates than standard least squares method does. The proposed algorithm consists of two recursive total least squares (RTLS) algorithms for the d-axis subsystem and q-axis subsystem respectively. The incremental singular value decomposition (SVD) for the RTLS obtained by an approximate calculation with less computation. The performance of the CRTLS is demonstrated by simulation and experimental results.

引用

页码：2344 / 2353

页数：10

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