High-Efficient Multi-Vector Model Predictive Control with Common-Mode Voltage Suppression

Multi-vector model predictive control has gained many attractions in motor drive applications due to its accurate and stable control performance. However, two key challenges have limited the control development. First of all, the switching frequency is not fixed and remains at a high level under the full range of operating conditions. More seriously, the zero vectors applied to adjust the output amplitude will generate high common-mode voltage, resulting in axis current, electromagnetic interference, and a host of other adverse effects. To address the two main concerns, this paper proposes a control strategy that can efficiently respond to different operating conditions for permanent magnet synchronous motors. First, the reference voltage is constructed by the deadbeat principle, and the motor operating condition is distinguished according to the amplitude of the reference voltage. Second, to inherit satisfactory performance in steady-state while exhibiting fast current tracking response simultaneously, two voltage generation approaches that avoid the use of zero vectors are designed. Finally, comparative experimental results are presented, and the effectiveness of the proposed strategy is verified.