Reduced Complexity Model Predictive Control for Five-Phase Open Winding PMSM Drive

Mahmoud S. R. Saeed, Wensheng Song, Bin Yu
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Abstract

This paper proposes a simple model predictive current control (MPCC) approach for five-phase open-windings (OW) PMSM drive. In the presented control approach, the control-set is designed by using the virtual voltage vectors (V3s) of the two voltage source inverters (VSIs), which cancel the x-y voltage components. Taking 10 V3s and zero-vector for each VSI, 121 V3s are available as a control-set for the studied system. However, only 21 voltage vectors are selected, which have zero-sequence voltage (ZSV), to remove the zero-sequence current. The best vector is chosen from the 21 candidate vectors according to the information of the reference α-β voltage vector, which is determined by the deadbeat (DB) basis. Hence, the control targets are obtained with the minimum computational load. The capability of the presented MPCC approach is examined using MATLAB simulation.
五相开式绕组PMSM驱动器的低复杂度模型预测控制
提出了一种简单的模型预测电流控制(MPCC)方法,用于五相开绕组永磁同步电动机驱动。在该控制方法中,利用两个电压源逆变器(vsi)的虚拟电压矢量(V3s)来设计控制集,从而抵消x-y电压分量。每个VSI取10个V3s和零向量,可得到121个V3s作为研究系统的控制集。然而,仅选择21个具有零序电压(ZSV)的电压矢量来去除零序电流。根据参考α-β电压矢量的信息,从21个候选矢量中选择最佳矢量,该矢量由无差拍(DB)基础确定。从而以最小的计算负荷获得控制目标。通过MATLAB仿真验证了所提出的MPCC方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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