永磁同步电机双矢量模型预测电流控制

在占空比模型预测电流控制中,由于第二个电压矢量只能是零电压矢量,在每个采样周期中只能选择6个固定方向上的电压矢量,因此电流仍存在较大波动。提出一种双矢量模型预测电流控制方法,该方法在每一个采样周期中进行两次电压矢量选择,可以在进行第二次电压矢量选择时采用非零电压矢量,电压矢量的选择范围扩大为任意方向、任意幅值的电压矢量,并且在价值函数中考虑了作用时间对电压矢量选择的影响,使得电压矢量的选择更加准确。实验结果表明:所提出的方法具有良好的静动态性能,同时与占空比模型预测电流控制相比,该方法有效地减小了电流波动。

Two-Vector Based Model Predictive Current Control for Permanent Magnet Synchronous Motor

In the duty cycle model predictive current control, there are still large current ripples because the second voltage vector is always zero-voltage vector and the voltage vector is selected in six fixed directions in each sampling period. In this paper, a two-vector based model predictive current control strategy is proposed. This method performs two voltage vector selections in each sampling period, and the range of voltage vector selection is expanded to arbitrary directions and amplitudes because the second voltage vector is not fixed to zero-voltage vector yet. Besides, the duration of voltage-vector is evaluated simultaneously in cost function, which makes the selection of voltage vector more accurate. Experimental results show that the proposed method has good steady-state and dynamic performance. Compared with the duty cycle model predictive current control, the proposed method can reduce the current ripples effectively.