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A Computationally Efficient Lookup Table Based FCS-MPC for PMSM Drives Fed by Matrix Converters

机译:基于计算有效查找表的FCS-MPC,用于由矩阵转换器提供的PMSM驱动器

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摘要

Finite control set-model predictive control (FCS-MPC) is an interesting alternative for the control of drive systems. However, FCS-MPC requires a large amount of calculation, because it uses all feasible voltage vectors of a power converter for prediction and evaluation. This is an obstacle for its application when the number of voltage vectors of power converter is increased. The computational burden is more challenging when the control objectives are increased. At the same time, matrix converter is an attractive alternative to conventional back-to-back converters with dc link. However, implementation of FCS-MPC for a matrix converter is computationally expensive due to the 27 feasible voltage vectors of the matrix converter. In this paper, a Lookup table is used to reduce the candidate voltage vectors that make the FCS-MPC computationally efficient for matrix converter-fed permanent-magnet synchronous motors. This approach is implemented experimentally and is compared with the conventional approach to evaluate its performance.
机译:有限控制集模型预测控制(FCS-MPC)是驱动系统控制的有趣替代方法。但是,FCS-MPC需要进行大量计算,因为它将功率转换器的所有可行电压矢量都用于预测和评估。当功率转换器的电压矢量的数量增加时,这成为其应用的障碍。当增加控制目标时,计算负担更具挑战性。同时,矩阵转换器是具有直流链路的传统背靠背转换器的有吸引力的替代品。然而,由于矩阵转换器的27个可行的电压矢量,因此用于矩阵转换器的FCS-MPC的实现在计算上是昂贵的。在本文中,使用查找表来减少候选电压矢量,从而使FCS-MPC在矩阵转换器馈电式永磁同步电动机上的计算效率更高。该方法是通过实验实现的,并与常规方法进行比较以评估其性能。

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