Parameter Identification of a Permanent Magnet Synchronous Machine based on Current Decay Test and Particle Swarm Optimization

被引：1

作者：

Perez, J. N. H. ^{[1
]}

Hernandez, O. S. ^{[2
]}

Caporal, R. M. ^{[1
]}

Magdaleno, J. de J. R. ^{[3
]}

Barreto, H. P. ^{[4
]}

机构：

[1] Inst Tecnol Apizaco, Tlaxcala, Mexico

[2] Inst Nacl Astrofis Opt & Electr, Puebla, Mexico

[3] Inst Nacl Astrofis Opt & Electr, Dept Elect, Puebla, Mexico

[4] Lab Invest Control Reconfigurable, Queretaro, Mexico

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2013年 / 11卷 / 05期

关键词：

Digital signal processor; parameter identification; permanent magnet synchronous machine; PSO;

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：

The Permanent Magnet Synchronous Machine (PMSM) is widely used in industrial applications. In order to obtain a high performance operation, an accurate knowledge of the machine parameters, such as direct (d) and quadrature (q) stator inductances is necessary. This paper presents two different methods to identify the stator inductances taking into account the magnetic saturation. First, Current Decay Test (CDT) is presented, then, Particle Swarm Optimization (PSO) algorithm. Both methods are used to identify the stator inductances. An own power electronic drive and a low cost digital signal processor (DSP) have been used on the experimental setup. Experimental results are presented to validate the theoretical work.

引用

页码：1176 / 1181

页数：6

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