Thesis
Torque Ripple Reduction of a Switched Reluctance Machine by Implementing an Optimization Based Control Strategy

dc.contributor.departmentIngeniería Electrica
dc.contributor.guiaJuliet Aviles, Jorge Andres
dc.contributor.guiaAngulo Cardenas, Alejandro Alberto
dc.coverage.spatialCampus Casa Central Valparaíso
dc.creatorCarvajal Carrasco, Andrés Ignacio
dc.date.accessioned2025-01-20T19:00:14Z
dc.date.available2025-01-20T19:00:14Z
dc.date.issued2023
dc.description.abstractIn recent times switched reluctance machines have started to draw attention as a feasible alterna tive to be implemented in electrical vehicles, due to its low-cost manufacturing and reliability at high speeds. However, the usual operation of these machines involves a high torque ripple, which can bring unwanted mechanical consequences. This is why the control strategy of these machines is vital to overcome these drawbacks. This work proposes a novel control strategy for torque–ripple minimization of a switched reluctance machine drive. The strategy is composed of two stages: (i) an outer flux–linkage reference generation layer delivers optimized patterns obtained offline via mixed-integer quadratic programming; (ii) an inner flux-linkage control loop that tracks references of the outer layer by applying an optimal switching sequence model predictive control algorithm. Each stage is tested in simulation and the results show that both the proposed reference genera tion technique and flux control algorithm can produce lower torque ripple and better flux–tracking performance than their state-of-the-art counterparts, them being the torque sharing function ap proach for reference generation, and the finite control set model predictive control and the deadbeat predictive control algorithms for flux–tracking. The proposed strategy and its components are im plemented in an experimental setup, which consisted of a 2.32 kW switched reluctance machine being fed by three Asymmetric Bridge Converters. The switched reluctance machine is coupled to a 2.23 kW induction machine working as a regenerative brake and is controlled by an external AC drive. The experimental outcome validated the proposed approach and the results obtained by simulation
dc.description.programMagíster en Ciencias de la Ingeniería Eléctrica
dc.description.sponsorshipFondecyt Regular N◦1210625 y N◦1191520, Agencia Nacional de Desarrollo e Investigación (ANID)
dc.format.extent64 páginas
dc.identifier.urihttps://cris.usm.cl/handle/123456789/2304
dc.language.isoen
dc.publisherUniversidad Técnica Federico Santa María
dc.rightsopen access
dc.subjectMÁQUINA DE RELUCTANCIA CONMUTADA
dc.subjectSRM
dc.subjectMPC
dc.subjectMIQCP
dc.subjectOSS-MPC
dc.titleTorque Ripple Reduction of a Switched Reluctance Machine by Implementing an Optimization Based Control Strategy
dspace.entity.typeTesis
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