Model Predictive Current Control of Open-Circuit Fault-Tolerant Five-Phase Flux-Switching Permanent Magnet Motor Drives

Fault-tolerant capability is an important advantage of multiphase motor drives. To enhance the fault-tolerant performance of a five-phase flux-switching permanent magnet (FSPM) motor drive under the open-circuit condition, a model predictive current control (MPCC) with the simplified control set (SCS) is proposed in this paper. On the principle of minimizing the harmonic voltage 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 the SCS. Accordingly, the number of current predictions has been reduced, resulting in the decrease of computational cost. Besides, the duty-cycle optimization (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 an open-circuit fault-tolerant five-phase FSPM motor drive is validated by experiments. Comparative experimental studies show that the MPCC strategy with SCS and DCO can improve both the transient and steady-state performances of the fault-tolerant drive.