Multi-objective Optimal Predictive Control of Axial Field Flux-Switching Permanent Magnet Machine

Abstract

A multi-objective optimal predictive control method is proposed in this paper in order to improve the operating efficiency of axial field flux-switching permanent magnet machine (AFFSPMM) while suppressing the torque pulsation caused by the cogging torque. The method is based on the mathematical model of the machine considering iron loss to calculate the minimum excitation currents of iron and copper consumption. On the one hand, the excitation currents corresponding to the minimum loss of the machine are obtained by the interval current seeking. On the other hand, the d-q axis compensation currents are calculated according to the results of the finite element analysis of the cogging torque. Finally, based on the model predictive control principle, the value function is designed jointly by using the loss minimum excitation currents and compensation currents to accomplish the optimal switching states, so that the multi-objective optimal control with low torque pulsation and high efficiency of AFFSPMM is realized. The experimental results verify the feasibility and effectiveness of the proposed multi-objective optimal predictive control method for AFFSPMM.