Control predictivo basado en secuencia de conmutación óptima para un conversor de tres puertos aplicado a vehículos eléctricos

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dc.catalogadoryvc
dc.contributor.advisorPereda Torres, Javier
dc.contributor.authorRubio Achondo, Felipe Andrés
dc.contributor.otherPontificia Universidad Católica de Chile. Escuela de Ingeniería
dc.date.accessioned2024-08-06T16:49:07Z
dc.date.available2024-08-06T16:49:07Z
dc.date.issued2024
dc.descriptionTesis (Magíster en Ciencias de la Ingeniería)--Pontificia Universidad Católica de Chile, 2024
dc.description.abstractMulti-port power converters have a very important role today because they are used used in electromobility applications and hybrid energy storage systems (HESS). However, their optimal operation requires advanced control techniques due to the handling of multiple variables simultaneously. This thesis presents the development of an Optimal Switching Sequence (OSS) model predictive control (MPC) method applied to a three-port converter (TPC), which has been connected to an anisotropic permanent magnet synchronous machine (PMSM) and two dc voltage sources (VS). Based on a review of TPCs, classical control methods and MPC methods, the converter used with its mathematical formulation is presented. Then, theoretical principles of vector modulation and the machine for the design of the current controller are presented. The latter is based on two steps, the first one uses the dynamic model of the machine to find the optimal seven-segment witching sequence (7S-SS) that reduces the value of an objective function without using weighting factors and the second one uses the redundant vectors (zero vectors) optimally distributed to control the current in another of the ports.The results validate the method by experimental and simulation tests. The strategy presents a defined harmonic distortion, without sacrificing the dynamic response. In addi tion, an implementation with asymmetric modulation reduces the tracking error by 65.36% and a delay compensation reduces it by 92%. Furthermore, the new strategy manages to reduce the optimization problems to be solved by the steady-state algorithm from 6 to 1. Thus, the proposed control becomes attractive for implementation in real hybrid sys tems, which impose challenges of durability, versatility and reliability to the electrical system.
dc.fechaingreso.objetodigital2024-08-06
dc.format.extentxxvi; 215 páginas
dc.fuente.origenSRIA
dc.identifier.doi10.7764/tesisUC/ING/87291
dc.identifier.urihttps://doi.org/10.7764/tesisUC/ING/87291
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87291
dc.information.autorucEscuela de Ingeniería; Rubio Achondo, Felipe Andrés; S/I; 246502
dc.information.autorucEscuela de Ingeniería; Pereda Torres, Javier; 0000-0002-3407-5233; 131481
dc.language.isoen
dc.nota.accesocontenido completo
dc.rightsacceso abierto
dc.subjectOptimal Switching Sequence (OSS)
dc.subjectModel Predictive Control (MPC)
dc.subjectMultiport Converters
dc.subjectElectric Vehicle (EV)
dc.subjectHybrid Power Integration
dc.subjectPower Converters
dc.subjectVector Control
dc.subjectField Oriented Control (FOC)
dc.subjectPermanent Magnet Synchronous Machine (PMSM)
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.subject.ods07 Affordable and clean energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleControl predictivo basado en secuencia de conmutación óptima para un conversor de tres puertos aplicado a vehículos eléctricos
dc.typetesis de maestría
sipa.codpersvinculados246502
sipa.codpersvinculados131481
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3.01 Tesis magíster