Multiple Vector Model Predictive Torque Control of a Hybrid Excitation Axial Flux Switching Permanent Magnet Motor

Hybrid excitation axial flux switching permanent magnet motor is a new type of permanent magnet motor with wide speed range and high efficiency. The cogging torque of this type of motor is large, which leads to large fluctuations in torque and speed, coupling between the electric excitation magnetic field and the armature magnetic field, and current distortion caused by separate control. In this paper, a multiple vector model predictive torque control (MV-MPTC) is proposed for a hybrid excitation axial flux switching permanent magnet (HE-AFSPM) motor. In order to realize the coordinate control of the excitation and armature field, the predictive model for the flux, torque and excitation current is established. In addition, by calculating the duty cycle of the voltage vector, multiple voltage vectors and zero vectors are effectively synthesized to reduce flux ripple and torque ripple. Finally, the experiments are conducted to verify the effectiveness of the control strategy.