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Control predictivo polifásico mediante dos constelaciones de vectores virtuales de tensión

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Control predictivo polifásico mediante dos constelaciones de vectores virtuales de tensión

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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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