Position-Offset-Based Parameter Estimation Using the Adaline NN for Condition Monitoring of Permanent-Magnet Synchronous Machines

被引：100

作者：

Liu, Kan ^{[1
]}

Zhu, Z. Q. ^{[1
]}

机构：

[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 04期

关键词：

Adaline neural network (NN); condition monitoring; parameter estimation; parameter identification; permanent-magnet synchronous machine (PMSM); position offset; rotor flux linkage; stator winding resistance; ONLINE IDENTIFICATION; MOTORS; FAULTS; RESISTANCE; DRIVES; IPMSM;

D O I：

10.1109/TIE.2014.2360145

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes how to use the addition of rotor position offsets as perturbation signals for the parameter estimation of permanent-magnet synchronous machines (PMSMs), which can be used for the condition monitoring of rotor permanent magnet and stator winding. During the proposed estimation, two small position offsets are intentionally added into the drive system, and the resulting voltage variation will be recorded for the estimation of rotor flux linkage. With the aid from estimated rotor flux linkage, the stator winding resistance can be subsequently estimated at steady state. This method is experimentally verified on two prototype PMSMs (150 W and 3 kW, respectively) and shows good performance in monitoring the variation of rotor flux linkage and winding resistance.

引用

页码：2372 / 2383

页数：12

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