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Direct Torque Model Predictive Control of a Five-Phase Permanent Magnet Synchronous Motor
IEEE Transactions on Power Electronics ( IF 6.7 ) Pub Date : 2021-02-01 , DOI: 10.1109/tpel.2020.3011312
Benjamin Cao , Brandon M. Grainger , Xin Wang , Yu Zou , Gregory F. Reed , Zhi-Hong Mao

Polyphase permanent magnet synchronous motors exhibit outstanding advantages over the traditional three-phase traction motors in electrified transportation applications. This article introduces a novel direct torque model predictive control technique aiming at developing a highly reliable, loss-minimizing, and energy-efficient five-phase permanent magnet synchronous motor drive. Leveraging the underlying constrained optimization process, the direct torque model predictive control approach optimizes the torque delivery and speed regulation quality, improves the flux and torque ripples, reduces higher order current harmonics, minimizes motor drive losses, and boosts power efficiency of the electric powertrain. dSPACE DS1104 hardware-in-the-loop and computer simulation studies are jointly utilized to verify the effectiveness and robustness of the proposed direct torque model predictive control approach in polyphase permanent magnet synchronous motor drive applications.

中文翻译:

五相永磁同步电机的直接转矩模型预测控制

多相永磁同步电机在电气化运输应用中表现出优于传统三相牵引电机的突出优势。本文介绍了一种新颖的直接转矩模型预测控制技术,旨在开发一种高度可靠、损耗最小且节能的五相永磁同步电机驱动器。利用底层约束优化过程,直接转矩模型预测控制方法优化转矩传递和速度调节质量,改善磁通和转矩脉动,减少高次电流谐波,最大限度地减少电机驱动损耗,并提高电动动力系统的功率效率。
更新日期:2021-02-01
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