Decoupling model based predictive torque control algorithm with low switching frequency for flux-switching permanent magnet synchronous machines

Flux-switching permanent magnet machine (FSPMM) has received great attention during the past ten years due to its great merits of strong mechanical robustness, high efficiency, strong thermal dissipation ability, etc. However, it suffers from severe torque and flux ripples at different rotor positions for its variable magnetic resistance and equivalent air gap length, which cannot be solved completely by electromagnetic optimal design alone. In order to increase the drive performance of FSPMM, such as dynamic response and stable smoothness of torque, an improved model based predictive torque control (MPTC) algorithm is proposed in this paper. By help of the cost function modulation strategy, the FSPMM torque and flux ripples are reduced obviously, accompanied with the minimized converter switching frequency. Comprehensive simulations validate relevant theoretical analysis.