A High-Fidelity Computationally Efficient Transient Model of Interior Permanent-Magnet Machine With Stator Turn Fault

被引：21

作者：

Sen, Bhaskar ^{[1
]}

Wang, Jiabin ^{[1
]}

Lazari, Panagiotis ^{[1
]}

机构：

[1] Univ Sheffield, Elect Machines & Drives Res Grp, Dept Elect & Elect Engn, Sheffield S13 JD, S Yorkshire, England

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2016年 / 63卷 / 02期

基金：

英国工程与自然科学研究理事会;

关键词：

Analytical models; condition monitoring; fault currents; permanent-magnet (PM) machines; saturation magnetization; SHORT-CIRCUIT FAULT; SYNCHRONOUS MACHINES; IPM-TYPE; MOTORS; HYBRID; SYSTEMS; DRIVES;

D O I：

10.1109/TIE.2015.2491884

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An accurate transient model of interior permanent-magnet (IPM) machine with stator turn fault with due account of magnetic saturation is essential to develop robust and sensitive interturn fault detection algorithms and to evaluate drive controller performance and stability under fault conditions. This paper proposes a general method of modeling stator turn fault using flux linkage-map of IPM machine under fault extracted from finite-element (FE) analysis. Simulation results from the proposed fault model are compared against FE and experimental results. The results show that the proposed model matches well with experimental data.

引用

页码：773 / 783

页数：11

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