Novel Decoupling Model-Based Predictive Current Control Strategy for Flux-Switching Permanent-Magnet Synchronous Machines With Low Torque Ripple and Switching Loss

A flux-switching permanent-magnet synchronous machine (FSPMSM) has demonstrated merits of high torque density, strong mechanical robustness, good fault redundancy ability, etc., and begun to find great potential applications in electrical vehicle, airplane, ship, wind generation, and so on. However, by the inherited influence of double salient structure and high number of pole pairs, it suffers with comparatively large torque ripple and converter switching loss, which deteriorates the drive performance a little. Existing research mostly focuses on electromagnetic optimal design to reduce these defects, but little attention has been paid to advanced control strategies. In this paper, a novel model-based predictive current control algorithm with decoupling implementation is proposed to strengthen the drive performance of FSPMSM. One improved cost function has been used to find the best switching vector for the converter during each instant. Comprehensive theoretical analyses and simulations are carried out to validate the innovation feasibility.