An improved predictive current control for IM drives

In Finite Control Set-Model Predictive Control (FCS-MPC), the model of the induction machine (IM) is expressed in the a b or d q reference frame, and then the back-EMF is estimated based on the applied voltage vectors. In this work, the d-q reference frame is used but unlike the existing method, the...

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Autores: Shiravani, Fahimeh, Alkorta Egiguren, Patxi, Cortajarena Echeverria, José Antonio, Barambones Caramazana, Oscar
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/61635
Acceso en línea:http://hdl.handle.net/10810/61635
Access Level:acceso abierto
Palabra clave:induction motor
predictive current control
voltage vector
VSI
experimental validation
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spelling An improved predictive current control for IM drivesShiravani, FahimehAlkorta Egiguren, PatxiCortajarena Echeverria, José AntonioBarambones Caramazana, Oscarinduction motorpredictive current controlvoltage vectorVSIexperimental validationIn Finite Control Set-Model Predictive Control (FCS-MPC), the model of the induction machine (IM) is expressed in the a b or d q reference frame, and then the back-EMF is estimated based on the applied voltage vectors. In this work, the d-q reference frame is used but unlike the existing method, the esti- mated back-EMF is calculated by filtering the voltage vectors. Moreover, the work studies the importance of the discretization method on the predictive control behavior of IM. It has been demonstrated that the mentioned enhancements lead to an efficient Total Harmonic Distortion value for stator current (THD i) and torque ripple reduction compared to the conventional methods. The proposed Predictive Current Controller (PCC) has been validated experimentally by using a commercial IM of 7:5½kW controlled by a dSpace 1103 real-time control board running with sample frequencies from 10½kHz to 80½kHz . The test results validate the developed controller’s ability to meet the control objectives in a whole range of speeds, loads, and sampling frequencies.The authors wish to express their gratitude to the Gipuzkoako Foru Aldundia through the project Etorkizuna Eraikiz 2022–2023, the Basque Government through the project EKOHEGAZ (ELKARTEK KK-2021/00092), the Diputacion Foral de Alava (DFA) through the project CONAVANTER, and to the UPV/EHU through the project GIU20/063 for supporting this work.Elsevier202320232023info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/61635reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://www.sciencedirect.com/science/article/pii/S2090447922003483info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/© 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Atribución 3.0 Españaoai:addi.ehu.eus:10810/616352026-06-18T09:23:17Z
dc.title.none.fl_str_mv An improved predictive current control for IM drives
title An improved predictive current control for IM drives
spellingShingle An improved predictive current control for IM drives
Shiravani, Fahimeh
induction motor
predictive current control
voltage vector
VSI
experimental validation
title_short An improved predictive current control for IM drives
title_full An improved predictive current control for IM drives
title_fullStr An improved predictive current control for IM drives
title_full_unstemmed An improved predictive current control for IM drives
title_sort An improved predictive current control for IM drives
dc.creator.none.fl_str_mv Shiravani, Fahimeh
Alkorta Egiguren, Patxi
Cortajarena Echeverria, José Antonio
Barambones Caramazana, Oscar
author Shiravani, Fahimeh
author_facet Shiravani, Fahimeh
Alkorta Egiguren, Patxi
Cortajarena Echeverria, José Antonio
Barambones Caramazana, Oscar
author_role author
author2 Alkorta Egiguren, Patxi
Cortajarena Echeverria, José Antonio
Barambones Caramazana, Oscar
author2_role author
author
author
dc.subject.none.fl_str_mv induction motor
predictive current control
voltage vector
VSI
experimental validation
topic induction motor
predictive current control
voltage vector
VSI
experimental validation
description In Finite Control Set-Model Predictive Control (FCS-MPC), the model of the induction machine (IM) is expressed in the a b or d q reference frame, and then the back-EMF is estimated based on the applied voltage vectors. In this work, the d-q reference frame is used but unlike the existing method, the esti- mated back-EMF is calculated by filtering the voltage vectors. Moreover, the work studies the importance of the discretization method on the predictive control behavior of IM. It has been demonstrated that the mentioned enhancements lead to an efficient Total Harmonic Distortion value for stator current (THD i) and torque ripple reduction compared to the conventional methods. The proposed Predictive Current Controller (PCC) has been validated experimentally by using a commercial IM of 7:5½kW controlled by a dSpace 1103 real-time control board running with sample frequencies from 10½kHz to 80½kHz . The test results validate the developed controller’s ability to meet the control objectives in a whole range of speeds, loads, and sampling frequencies.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/61635
url http://hdl.handle.net/10810/61635
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S2090447922003483
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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