A Three-Vector-Based Model Predictive Flux Control for PMSM Drives

The model predictive flux control (MPFC) strategy is an improved method for the weighting factor that is difficult to adjust in the traditional model predictive torque control (MPTC). By analyzing the relationship among torque, stator flux and load angle, the simultaneous control of torque and stator flux amplitude is converted into the control of equivalent references stator flux vector, which eliminates directly the weighting factor. However, MPFC also suffers from high torque and flux ripples if only one voltage vector is applied during each control period. In order to solve this problem, a three-vector-based model predictive flux control strategy is proposed for permanent magnet synchronous motor in this paper. Three voltage vectors are applied in one control cycle to achieve good control performance of torque and flux, and the durations of three vectors are determined based on the principle of stator flux deadbeat control. The experimental results show that, compared with the model predictive flux control strategy and the optimal duty model predictive flux control strategy, the three-vector-based model predictive flux control strategy can effectively reduce the torque and flux ripples, improve the system's steady-state performance.