Improved direct model predictive control for grid-connected power converters

dc.contributor.authorAbdelrahem, M.
dc.contributor.authorRodríguez, J.
dc.contributor.authorKennel, R.
dc.date.accessioned2021-11-24T19:37:45Z
dc.date.available2021-11-24T19:37:45Z
dc.date.issued2020-05
dc.descriptionIndexación: Scopuses
dc.description.abstractThis paper proposes a computationally efficient and robust direct model predictive control (DMPC) technique with enhanced steady-state performance for power converters tied to the electric utility. The discrete space vector modulation (DSVM) method is considered in the design of the suggested DMPC, where virtual voltage vectors (VVs) besides the real ones are utilized for improving the steady-state response of the proposed controller. Furthermore, for averting the high computational burden and making the proposed control technique simple, a deadbeat (DB) function is employed for calculating the reference VV based on the required reference current. Subsequently, a discrete-time integral term is combined with this DB function to enhance the robustness of the suggested DMPC technique against variations of the model parameters. Finally, the best virtual or real VV is chosen by a certain quality function, which will be applied to the power converter in the next sample. The suggested technique is verified by simulation results and its performance is compared with the classical DMPC and voltage-oriented control (VOC). © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license . (http://creativecommons.org/licenses/by/4.0/).es
dc.description.urihttps://www.mdpi.com/1996-1073/13/10/2597
dc.identifier.citationEnergies Volume 13, Issue 10May 2020 Article number 2597es
dc.identifier.doi10.3390/en13102597
dc.identifier.issn1996-1073
dc.identifier.urihttp://repositorio.unab.cl/xmlui/handle/ria/21059
dc.language.isoeses
dc.publisherMDPI AGes
dc.rights.licenseAtribución 4.0 Internacional (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subjectAdvanced control.es
dc.subjectRobust control.es
dc.subjectPredictive control.es
dc.subjectPower converter.es
dc.subjectDeadbeates
dc.titleImproved direct model predictive control for grid-connected power converterses
dc.typeArtículoes
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