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dc.contributor.author | Garrido Satué, Manuel | es_ES |
dc.contributor.author | Ruiz Arahal, Manuel | es_ES |
dc.contributor.author | Rodríguez Ramírez, Daniel | es_ES |
dc.contributor.author | Barrero García, Federico | es_ES |
dc.date.accessioned | 2023-11-07T13:10:16Z | |
dc.date.available | 2023-11-07T13:10:16Z | |
dc.date.issued | 2023-09-29 | |
dc.identifier.issn | 1697-7912 | |
dc.identifier.uri | http://hdl.handle.net/10251/199437 | |
dc.description.abstract | [EN] In the field of variable speed electric drives, the predictive method based on virtual voltage vectors has recently appeared. This method allows to reduce the voltage contribution in the x-y subspace, in which no torque is produced, but losses. This not only limits the losses but also reduces the tuning complexity of the predictive controller. The virtual voltage vectors are obtained by combining tension vectors belonging to different small, medium and large crowns in addition to the null vectors. In a typical application, first the crown(s) to be used are chosen and then the virtual vectors are developed. The predictive controller uses in each sampling period the most suitable virtual vector. In this work we propose the use of several sets of virtual vectors coming from different combinations of crowns. For each operating point of the electric drive, the set that provides the best values of a certain goodness criterion is used. The proposed method is experimentally validated using a six-phase induction machine. | es_ES |
dc.description.abstract | [ES] En el campo de los accionamientos eléctricos de velocidad variable ha aparecido recientemente el método predictivo basado en vectores virtuales de tensión. Este método permite reducir la contribuci´on del voltaje en el subespacio x-y, en el cual no se produce par, sino pérdidas. De este modo no sólo se limitan las pérdidas sino que se reduce la complejidad de sintonía del controlador predictivo. Los vectores virtuales de tensión se obtienen mediante combinación de vectores de tensión pertenencientes a distintas coronas pequeña, media y grande además de los vectores nulos. En una aplicación típica se elige en primer lugar la(s) corona(s) a usar y después se desarrollan los vectores virtuales. El controlador predictivo usa en cada periodo de muestreo el vector virtual más adecuado. En este trabajo se propone el uso de varios conjuntos de vectores virtuales provenientes de diferentes combinaciones de coronas. Para cada punto de operación del accionamiento eléctrico se utiliza el conjunto que proporciona mejores valores de cierto criterio de bondad. El método propuesto es validado experimentalmente usando una máquina de inducción de seis fases. | es_ES |
dc.description.sponsorship | Este trabajo es parte de los proyectos TED2021-129558BC22 (financiado por el Ministerio de Ciencia e Innovación Agencia Estatal de Investigación de España MCIN/AEI/10.13039/ 501100011033 y tambien por Unión Europea NextGenerationEU/ PRTR) y PID2021-125189OB-I00 (financiado por MCIN/ AEI /10.13039/ 501100011033/FEDER, UE Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación de España y el Fondo Europeo de Desarrollo Regional). | es_ES |
dc.language | Español | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Induction machines | es_ES |
dc.subject | Multi-phase systems | es_ES |
dc.subject | Performance maps | es_ES |
dc.subject | Predictive control | es_ES |
dc.subject | Virtual-voltage-vectors | es_ES |
dc.subject | Máquinas de inducción | es_ES |
dc.subject | Sistemas polifásicos | es_ES |
dc.subject | Mapa de rendimiento | es_ES |
dc.subject | Control Predictivo | es_ES |
dc.subject | Vectores virtuales de tensión | es_ES |
dc.title | Control predictivo polifásico mediante dos constelaciones de vectores virtuales de tensión | es_ES |
dc.title.alternative | Multi-phase predictive control using two virtual-voltage-vector constellations | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.4995/riai.2023.19205 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-129558BC22 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2021-125189OB-I00 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Garrido Satué, M.; Ruiz Arahal, M.; Rodríguez Ramírez, D.; Barrero García, F. (2023). Control predictivo polifásico mediante dos constelaciones de vectores virtuales de tensión. Revista Iberoamericana de Automática e Informática industrial. 20(4):347-354. https://doi.org/10.4995/riai.2023.19205 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/riai.2023.19205 | es_ES |
dc.description.upvformatpinicio | 347 | es_ES |
dc.description.upvformatpfin | 354 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 20 | es_ES |
dc.description.issue | 4 | es_ES |
dc.identifier.eissn | 1697-7920 | |
dc.relation.pasarela | OJS\19205 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
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