Model Predictive Control in Multilevel Inverters Part I: Basic Strategy and Performance Improvement

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dc.contributor.authorGarcia, Cristian
dc.contributor.authorMora, Andres
dc.contributor.authorNorambuena, Margarita
dc.contributor.authorRodriguez, Jose
dc.contributor.authorAly, Mokhtar
dc.contributor.authorCarnielutti, Fernanda
dc.contributor.authorPereda, Javier
dc.contributor.authorAcuna, Pablo
dc.contributor.authorAguilera, Ricardo
dc.contributor.authorTarisciotti, Luca
dc.date.accessioned2025-01-20T16:07:12Z
dc.date.available2025-01-20T16:07:12Z
dc.date.issued2024
dc.description.abstractMultilevel inverters (MLIs) have lately become important due to their extended application to electrical transmission and distribution systems. At the same time, the control and modulation of MLIs are especially challenging due to the high number of switching states, many of them redundant in terms of output voltage generation, and their nonlinear characteristics. In order to ease their implementation in real environment, model predictive control (MPC) is often considered, where the main control targets are: 1) to generate a the desired output current and 2) to keep the internal converter capacitor voltages at their reference value. However, a major issue with the implementation of MPC in MLIs is that the number of calculations to be done online increases dramatically with the number of levels, making it almost impossible to apply MPC in some practical cases. For these reasons, one of the main research trend in MPC for MLIs is to provide an algorithm which can reduce the computational burden necessary to operate the control. The article proposes a review of such control techniques. Starting from the basic MPC implementation and using a flying capacitor converter as an example the article review the basic strategies to avoid calculating the weighting factor in the cost function, simplifying the implementation. Also, methods to reduce the number of calculations necessary to implement MPC are shown and applied to cascaded H-bridge converters. These techniques allow to keep an high load current quality while reducing more than 95% in the number of calculations necessary to implement the control. Finally, other operation improvements of MPC are also included, such as fixed switching frequency operation and multistep MPC, reaching an important performance improvement compared to the basic MPC strategy.
dc.fuente.origenWOS
dc.identifier.doi10.1109/OJIA.2024.3460669
dc.identifier.eissn2644-1241
dc.identifier.urihttps://doi.org/10.1109/OJIA.2024.3460669
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/89985
dc.identifier.wosidWOS:001327401800001
dc.language.isoen
dc.pagina.final441
dc.pagina.inicio428
dc.revistaIeee open journal of industry applications
dc.rightsacceso restringido
dc.subjectCapacitors
dc.subjectLegged locomotion
dc.subjectVoltage
dc.subjectTopology
dc.subjectMultilevel inverters
dc.subjectSwitches
dc.subjectCost function
dc.subjectModel predictive control (MPC)
dc.subjectmultilevel inverters (MLIs)
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleModel Predictive Control in Multilevel Inverters Part I: Basic Strategy and Performance Improvement
dc.typeartículo
dc.volumen5
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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