Induction Motor Driven by a CAMC Using Predictive Control

Autores
Verne, Santiago Andres; Gonzalez, Sergio Alberto; Valla, Maria Ines
Año de publicación
2014
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents a control strategy for an induction motor fed by a Cascade Asymmetric Multilevel Converter (CAMC). The approach is based on the Finite-States Model Predictive Control technique and uses the dynamic motor model and the converter model to pre-calculate the evolution of the variables of interest. These target variables are jointly compared with their reference values by means of an optimization function which allows to determine the best state among all switching combinations. This selection is carried out in a direct way, in each sampling period without modulator.
Fil: Verne, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina
Fil: Gonzalez, Sergio Alberto. Universidad Nacional de La Plata; Argentina
Fil: Valla, Maria Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina
Materia
Capacitors
Induction Motors
Switches
Silicon Compounds
Dc Motors
Predictive Control
Predictive Models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/32943
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/32943
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Induction Motor Driven by a CAMC Using Predictive ControlVerne, Santiago AndresGonzalez, Sergio AlbertoValla, Maria InesCapacitorsInduction MotorsSwitchesSilicon CompoundsDc MotorsPredictive ControlPredictive Modelshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work presents a control strategy for an induction motor fed by a Cascade Asymmetric Multilevel Converter (CAMC). The approach is based on the Finite-States Model Predictive Control technique and uses the dynamic motor model and the converter model to pre-calculate the evolution of the variables of interest. These target variables are jointly compared with their reference values by means of an optimization function which allows to determine the best state among all switching combinations. This selection is carried out in a direct way, in each sampling period without modulator.Fil: Verne, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; ArgentinaFil: Gonzalez, Sergio Alberto. Universidad Nacional de La Plata; ArgentinaFil: Valla, Maria Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; ArgentinaInstitute of Electrical and Electronics Engineers2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32943Verne, Santiago Andres; Gonzalez, Sergio Alberto; Valla, Maria Ines; Induction Motor Driven by a CAMC Using Predictive Control; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 5; 8-2014; 883-8891548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2014.6872900info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6872900/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:50Zoai:ri.conicet.gov.ar:11336/32943instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:10:50.515CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Induction Motor Driven by a CAMC Using Predictive Control
title Induction Motor Driven by a CAMC Using Predictive Control
spellingShingle Induction Motor Driven by a CAMC Using Predictive Control
Verne, Santiago Andres
Capacitors
Induction Motors
Switches
Silicon Compounds
Dc Motors
Predictive Control
Predictive Models
title_short Induction Motor Driven by a CAMC Using Predictive Control
title_full Induction Motor Driven by a CAMC Using Predictive Control
title_fullStr Induction Motor Driven by a CAMC Using Predictive Control
title_full_unstemmed Induction Motor Driven by a CAMC Using Predictive Control
title_sort Induction Motor Driven by a CAMC Using Predictive Control
dc.creator.none.fl_str_mv Verne, Santiago Andres
Gonzalez, Sergio Alberto
Valla, Maria Ines
author Verne, Santiago Andres
author_facet Verne, Santiago Andres
Gonzalez, Sergio Alberto
Valla, Maria Ines
author_role author
author2 Gonzalez, Sergio Alberto
Valla, Maria Ines
author2_role author
author
dc.subject.none.fl_str_mv Capacitors
Induction Motors
Switches
Silicon Compounds
Dc Motors
Predictive Control
Predictive Models
topic Capacitors
Induction Motors
Switches
Silicon Compounds
Dc Motors
Predictive Control
Predictive Models
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work presents a control strategy for an induction motor fed by a Cascade Asymmetric Multilevel Converter (CAMC). The approach is based on the Finite-States Model Predictive Control technique and uses the dynamic motor model and the converter model to pre-calculate the evolution of the variables of interest. These target variables are jointly compared with their reference values by means of an optimization function which allows to determine the best state among all switching combinations. This selection is carried out in a direct way, in each sampling period without modulator.
Fil: Verne, Santiago Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina
Fil: Gonzalez, Sergio Alberto. Universidad Nacional de La Plata; Argentina
Fil: Valla, Maria Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina
description This work presents a control strategy for an induction motor fed by a Cascade Asymmetric Multilevel Converter (CAMC). The approach is based on the Finite-States Model Predictive Control technique and uses the dynamic motor model and the converter model to pre-calculate the evolution of the variables of interest. These target variables are jointly compared with their reference values by means of an optimization function which allows to determine the best state among all switching combinations. This selection is carried out in a direct way, in each sampling period without modulator.
publishDate 2014
dc.date.none.fl_str_mv 2014-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/32943
Verne, Santiago Andres; Gonzalez, Sergio Alberto; Valla, Maria Ines; Induction Motor Driven by a CAMC Using Predictive Control; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 5; 8-2014; 883-889
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32943
identifier_str_mv Verne, Santiago Andres; Gonzalez, Sergio Alberto; Valla, Maria Ines; Induction Motor Driven by a CAMC Using Predictive Control; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 5; 8-2014; 883-889
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2014.6872900
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6872900/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614001421451264
score 13.070432

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