In the double-vector-based model predictive torque control (MPTC), two voltage vectors are applied in one control period. Due to a large number of possible combinations among voltage vectors, the determination of optimal voltage vector pair is often complicated. This article proposes a new approach to reduce the number of candidate active voltage vectors. The concept is to preselect the active voltage vectors according to the stator flux vector error. The proposed MPTC is implemented in a stationary frame and avoids the complicated coordinate transformation as well as the tangent inverse calculations. Furthermore, a promising approach is conceived for calculating the duty cycle of active voltage vector, which can contribute to the less dependence on the system model, thus alleviating the sensitivity to motor parameter variations. To further improve the steady-state performance, a modified three-vector-based MPTC is newly put forward. Meanwhile, the proposed duty cycle calculation method is used to achieve the deadbeat control of torque and stator flux. Theoretical analyses and experimental results are given to verify the effectiveness of the proposed MPTC methods.

中文翻译：

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具有电压预选的 PMSM 的低复杂度基于多向量模型的预测转矩控制

在基于双矢量的模型预测扭矩控制 (MPTC) 中，在一个控制周期内施加两个电压矢量。由于电压矢量之间有大量可能的组合，最佳电压矢量对的确定往往很复杂。本文提出了一种减少候选有效电压向量数量的新方法。其概念是根据定子磁通矢量误差预选有功电压矢量。所提出的 MPTC 在固定框架中实现，避免了复杂的坐标变换以及切线逆计算。此外，设想了一种有前途的方法来计算有源电压矢量的占空比，这有助于减少对系统模型的依赖，从而减轻对电机参数变化的敏感性。为了进一步提高稳态性能，新提出了一种改进的基于三向量的 MPTC。同时，利用所提出的占空比计算方法实现转矩和定子磁链的无差拍控制。给出了理论分析和实验结果，以验证所提出的 MPTC 方法的有效性。