Research on optimal three-vector model predictive current control of 2 permanent magnet synchronous motor

Abstract

Aiming at the two-vector model predictive current control(TV-MPCC)strategy of permanent magnet synchronous motor (PMSM), in a sampling period, can merely change the amplitude magnitude by adjusting the action time of the zero vector, resulting in the synthesized voltage vector direction can only be fixed in the direction of the six basic voltage vectors and the current fluctuations generated by the problem. This paper proposes an optimized three-vector model predictive current control (OTV-MPCC) method, which first finds the desired voltage vector and then finds the position angle of the desired vector through the inverse derivation of the formula and determines the sector in which it is located. The two fundamental vectors are selected and the zero vector at the boundary of the sector as the three voltage vectors requires for the model predictive control. Moreover, the time of each vector action is calculated by using the dead-beat control method, and the zero vector is selected by the switching frequency and switching minimum principle, which makes the algorithm computation significantly reduced. The simulation experimental results show that the proposed optimized three-vector model based on the predictive current control strategy can effectively decline the straight-axis and cross-axis current pulsations and enhance the stability of the system.

Keywords

• two-vector model predictive current control
• permanent magnet synchronous motor
• current fluctuations
• optimized three-vector model predictive current control
• dead-beat control