dc.creatorMora, Andrés
dc.creatorDonoso, Felipe
dc.creatorUrrutia, Matías
dc.creatorAngulo, Alejandro
dc.creatorCárdenas, Roberto
dc.date.accessioned2019-05-31T15:21:18Z
dc.date.available2019-05-31T15:21:18Z
dc.date.created2019-05-31T15:21:18Z
dc.date.issued2018
dc.identifierIEEE International Symposium on Industrial Electronics, Volumen 2018, 2018, Pages 155-160.
dc.identifier10.1109/ISIE.2018.8433749
dc.identifierhttps://repositorio.uchile.cl/handle/2250/169567
dc.description.abstractIn this paper, a model predictive control (MPC) strategy to drive an induction machine (1M) using a three-level neutral point-clamped (3L-NPC) converter is investigated. The proposed strategy is a space vector modulation based MPC which controls the torque and flux of the 1M by using a cost function focusing on the average tracking error of the stator flux linkage vector. Simulation results show an improved steady-state performance maintaining the fast dynamic response of the standard finite control set MPC. The control strategy works appropriately with a relatively low sampling frequency of 1 kHz, and it exhibits zero average tracking error in the controlled variables.
dc.languageen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceIEEE International Symposium on Industrial Electronics
dc.subjectmodel predictive control
dc.subjectmultilevel converter
dc.subjectspace vector modulation
dc.titlePredictive Control Strategy for an Induction Machine fed by a 3L-NPC Converter with Fixed Switching Frequency and Improved Tracking Error
dc.typeArtículo de revista


Este ítem pertenece a la siguiente institución