Performance Improvement of Model Predictive Current Control of Fault-Tolerant Five-Phase Flux-Switching Permanent Magnet Motor Drive

To enhance the fault-tolerant performance of a five-phase flux-switching permanent magnet (FSPM) motor drive under open-circuit condition, an improved model predictive current control (MPCC) with simplified control set (SCS) and duty cycle optimization (DCO) is proposed and investigated in this paper. On the principle of minimizing harmonic voltages in x-y subspace, two zero switching states and the switching state, which generates a larger voltage vector in alpha-beta subspace are selected into SCS. Accordingly, the number of current predictions has been reduced, resulting in the alleviation of the computational workload. Moreover, DCO approach is applied in conjunction with the SCS-based MPCC to improve the steady-state performance. Finally, the effectiveness of the proposed MPCC method for open-circuit fault-tolerant fivephase FSPM motor drive is validated by comparative experiments.