Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System

In order to implement model reference adaptive system online parameter identification for PMSM, reference model and adjustable model was constructed, and with the output difference of the two model through adaptive device, the parameters for identifying were obtained by adjustable model adaptive rat...

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Main Authors: ZHANG Ruifeng, YU Senlin, LIU Ting, ZHAN Zhejum
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2015-01-01
Series:机车电传动
Subjects:
Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.018
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author ZHANG Ruifeng
YU Senlin
LIU Ting
ZHAN Zhejum
author_facet ZHANG Ruifeng
YU Senlin
LIU Ting
ZHAN Zhejum
author_sort ZHANG Ruifeng
collection DOAJ
description In order to implement model reference adaptive system online parameter identification for PMSM, reference model and adjustable model was constructed, and with the output difference of the two model through adaptive device, the parameters for identifying were obtained by adjustable model adaptive rate regulating, eventually making the parameters for identifying in the adjustable model converge to a correct value, the parameters was obtained. Simulation and experimental validated that with the method, stator resistance, stator inductance, the flux of the permanent magnet could be identified accurately in real time.
format Article
id doaj-art-a5a33d1ff0bd4a99a4745afeecff0dfa
institution OA Journals
issn 1000-128X
language zho
publishDate 2015-01-01
publisher Editorial Department of Electric Drive for Locomotives
record_format Article
series 机车电传动
spelling doaj-art-a5a33d1ff0bd4a99a4745afeecff0dfa2025-08-20T02:29:02ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2015-01-01717620905013Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive SystemZHANG RuifengYU SenlinLIU TingZHAN ZhejumIn order to implement model reference adaptive system online parameter identification for PMSM, reference model and adjustable model was constructed, and with the output difference of the two model through adaptive device, the parameters for identifying were obtained by adjustable model adaptive rate regulating, eventually making the parameters for identifying in the adjustable model converge to a correct value, the parameters was obtained. Simulation and experimental validated that with the method, stator resistance, stator inductance, the flux of the permanent magnet could be identified accurately in real time.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.018permanent magnet synchronous motor (PMSM)model reference adaptiveparameter online identificationreference modeladjustable model
spellingShingle ZHANG Ruifeng
YU Senlin
LIU Ting
ZHAN Zhejum
Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
机车电传动
permanent magnet synchronous motor (PMSM)
model reference adaptive
parameter online identification
reference model
adjustable model
title Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
title_full Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
title_fullStr Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
title_full_unstemmed Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
title_short Research on online Parameter Identification of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
title_sort research on online parameter identification of permanent magnet synchronous motor based on model reference adaptive system
topic permanent magnet synchronous motor (PMSM)
model reference adaptive
parameter online identification
reference model
adjustable model
url http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2015.02.018
work_keys_str_mv AT zhangruifeng researchononlineparameteridentificationofpermanentmagnetsynchronousmotorbasedonmodelreferenceadaptivesystem
AT yusenlin researchononlineparameteridentificationofpermanentmagnetsynchronousmotorbasedonmodelreferenceadaptivesystem
AT liuting researchononlineparameteridentificationofpermanentmagnetsynchronousmotorbasedonmodelreferenceadaptivesystem
AT zhanzhejum researchononlineparameteridentificationofpermanentmagnetsynchronousmotorbasedonmodelreferenceadaptivesystem