Thesis Torque Ripple Reduction of a Switched Reluctance Machine by Implementing an Optimization Based Control Strategy
Date
2023
Authors
Carvajal Carrasco, Andrés Ignacio
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Técnica Federico Santa María
Abstract
In 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
Description
Keywords
MÁQUINA DE RELUCTANCIA CONMUTADA , SRM , MPC , MIQCP , OSS-MPC
