dc.contributorUniversidad de Talca - Faculty of Engineering
dc.contributorUniversity of Nottingham - Dep. of Electrical and Electronic Engineering
dc.contributorUniversidad Nacional de La Plata - Dep. of Electrical Engineering
dc.creatorToledo Gallardo, Sergio Ramón
dc.creatorRivera, Marco
dc.creatorTarisciotti, L.
dc.creatorWheeler, P.
dc.creatorVerne, S.
dc.date2022-04-24T03:25:09Z
dc.date2022-04-24T03:25:09Z
dc.date2018
dc.date.accessioned2023-09-25T13:30:59Z
dc.date.available2023-09-25T13:30:59Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3300
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807092
dc.descriptionThe following paper presents a novel indirect model predictive control strategy for a direct matrix converter (DMC). The direct matrix converter has a large number of available switching states and therefore the implementation of predictive control techniques require high computational resources. In addition, the simultaneous selection of weighting factors for the control of input and output variables of the converter complicates the system tuning. In this paper, two indirect model predictive control strategies are proposed in order to reduce the computational cost and by doing so avoid the use of weighting factors. The proposal is enhanced with a fixed switching frequency strategy in order to improve the performance of the full system. Results confirm the feasibility of the proposal by demonstrating that it is an alternative to classical predictive control strategies for the direct matrix converter.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.languageeng
dc.relation14-INV-097
dc.rightsopen access
dc.subject5 Energía
dc.subjectCURRENT CONTROL
dc.subjectMATRIX CONVERTERS
dc.subjectPREDICTIVE CONTROL
dc.subjectMODEL PREDICTIVE CONTROL
dc.subjectFICTITIOUS DC- LINK
dc.subjectFIXED SWITCHING FREQUENCY
dc.subjectINGENIERIA
dc.titleIndirect predictive control techniques for a matrix converter operating at fixed switching frequency
dc.typeresearch article


Este ítem pertenece a la siguiente institución