Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this...

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Autores: Kowal Gornig, Agnieszka, Arahal, Manuel R., Martín Torres, Cristina, Barrero, Federico
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/89110
Acceso en línea:https://hdl.handle.net/11441/89110
https://doi.org/10.3390/en12142715
Access Level:acceso abierto
Palabra clave:Constraints satisfaction
Cost functions
Local controllers
Predictive current control
Multi-phase drives
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spelling Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive ControllersKowal Gornig, AgnieszkaArahal, Manuel R.Martín Torres, CristinaBarrero, FedericoConstraints satisfactionCost functionsLocal controllersPredictive current controlMulti-phase drivesThe problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x- y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x- y subspaces.Ministerio de Ciencia, Innovación y Universidades de España RTI2018-101897-B-I00MDPIIngeniería de Sistemas y AutomáticaIngeniería Electrónica2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/89110https://doi.org/10.3390/en12142715reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 12 (14), 2715-1-2715-9.RTI2018-101897-B-I00https://doi.org/10.3390/en12142715info:eu-repo/semantics/openAccessoai:idus.us.es:11441/891102026-06-17T12:51:07Z
dc.title.none.fl_str_mv Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
title Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
spellingShingle Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
Kowal Gornig, Agnieszka
Constraints satisfaction
Cost functions
Local controllers
Predictive current control
Multi-phase drives
title_short Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
title_full Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
title_fullStr Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
title_full_unstemmed Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
title_sort Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers
dc.creator.none.fl_str_mv Kowal Gornig, Agnieszka
Arahal, Manuel R.
Martín Torres, Cristina
Barrero, Federico
author Kowal Gornig, Agnieszka
author_facet Kowal Gornig, Agnieszka
Arahal, Manuel R.
Martín Torres, Cristina
Barrero, Federico
author_role author
author2 Arahal, Manuel R.
Martín Torres, Cristina
Barrero, Federico
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
Ingeniería Electrónica
dc.subject.none.fl_str_mv Constraints satisfaction
Cost functions
Local controllers
Predictive current control
Multi-phase drives
topic Constraints satisfaction
Cost functions
Local controllers
Predictive current control
Multi-phase drives
description The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x- y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x- y subspaces.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/89110
https://doi.org/10.3390/en12142715
url https://hdl.handle.net/11441/89110
https://doi.org/10.3390/en12142715
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 12 (14), 2715-1-2715-9.
RTI2018-101897-B-I00
https://doi.org/10.3390/en12142715
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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