一种双三相永磁同步电机的多矢量模型预测转矩控制

双三相永磁同步电机(DTP-PMSM)的传统模型预测控制(MPC)在一个控制周期内仅作用一个电压矢量，使得电机的控制效果不理想，尤其是稳态时的转矩波动。针对这个问题，提出一种基于虚拟电压矢量(VVV)的多矢量模型预测转矩控制(MPTC)策略。该方法在一个控制周期内作用多个电压矢量，扩大了矢量调制范围。通过这种方式，减小了转矩脉动，提高了稳态性能。此外，该策略采用了VVV,因此该策略抑制了谐波电流。选用无权重因子的代价函数对候选矢量组合进行筛选，降低了算法的复杂度。最后，在试验平台上，通过与传统双矢量MPTC进行对比验证了所提算法的有效性。

Multi-Vector Model Predictive Torque Control for a Dual Three-Phase Permanent Magnet Synchronous Motor

The traditional model predictive control (MPC) of dual three-phase permanent magnet synchronous motor (DTP-PMSM) only applies one voltage vector in one cycle control, resulting in poor control performance, especially the torque fluctuation in steady state. In order to solve this problem, a multi-vector model predictive torque control (MPTC) strategy based on virtual voltage vector (VVV) is proposed. The proposed strategy applies multiple voltage vectors in one cycle control, which can expand the vector modulation range. By this way, the torque ripple can be suppressed and the steady-state performance have been improved. In addition, VVV are adopted in the strategy so as to suppress the harmonic current. The cost function with no weighting factor is selected to select the candidate vector combinations, which reduces the complexity of the algorithm. Finally, the effectiveness of the proposed strategy is verified by comparing it with the traditional dual vector MPTC on the experimental platform.