Dual-Vector Located Model Predictive Control With Single DC-Link Current Sensor for Permanent-Magnet Linear Motor Drives
Dual-Vector Located Model Predictive Control With Single DC-Link Current Sensor for Permanent-Magnet Linear Motor Drives
复制标题
DOI：
10.1109/tpel.2021.3093546
复制
发表时间：
2021-12
影响因子：
6.7
通讯作者：
Wei Wang;Zhixiang Lu;W. Tian;W. Hua;Z. Wang;M. Cheng
中科院分区：
文献类型：
--
作者：
Wei Wang;Zhixiang Lu;W. Tian;W. Hua;Z. Wang;M. Cheng
针对永磁直线电机驱动系统，提出了一种基于单直流环节电流传感器的双矢量定位模型预测控制方法。在DL-MPC中，相电流由采样的直流链路电流和选定的有功电压矢量（VV）重构。同时，定义了相电流沉没数来衡量电流重构的准确性。第一和第二最优VV由双矢量定位确定。当沉没数超过阈值时，为电压源逆变器选择次优VV。与传统的MPC方案相比，DL-MPC具有更小的电流跟踪误差和更好的动态性能。同时，DL-MPC比传统MPC具有更高的电流重构精度和更低的计算负担。理论分析和实验结果均验证了DL-MPC的有效性。
In this article, a dual-vector located model predictive control (DL-MPC) method based on a single dc-link current sensor is proposed for the permanent-magnet linear motor drive system. In DL-MPC, the phase currents are reconstructed by sampled dc-link current and selected active voltage vector (VV). Meanwhile, the sunk number of phase current is defined to evaluate the accuracy of current reconstruction. The first-optimal and second-optimal VVs are determined by dual-vector location. The second-optimal VV is selected for the voltage source inverter when the sunk number exceeds the threshold. Compared with traditional MPC schemes, DL-MPC has smaller current tracking error and better dynamic performance. Meanwhile, DL-MPC has more accurate current reconstruction and lower computation burden than that of the traditional MPC. The effectiveness of DL-MPC is verified by both theoretical analysis and experimental results.