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...
| Autores: | , , , |
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| 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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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 |
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openAccess |
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application/pdf application/pdf |
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MDPI |
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MDPI |
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reponame:idUS. Depósito de Investigación de la Universidad de Sevilla instname:Universidad de Sevilla (US) |
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Universidad de Sevilla (US) |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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