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A Novel Modulated Model Predictive Control Applied to Six-Phase Induction Motor Drives
IEEE Transactions on Industrial Electronics ( IF 7.5 ) Pub Date : 4-9-2020 , DOI: 10.1109/tie.2020.2984425
Magno Ayala , Jesus Doval-Gandoy , Jorge Rodas , Osvaldo Gonzalez , Raul Gregor , Marco Rivera

Model-based predictive control techniques, with finite set control, are considered an interesting option to control multiphase drives due to their control flexibility and fast dynamic response. However, those techniques have some drawbacks such as a high computational cost, poor (x-y) currents reduction, and steady-state error, especially at high speeds. To improve some of these drawbacks, modulation stages have been presented as an alternative. However, some of those drawbacks have not been improved. This article proposes a novel approach to the classic predictive current control (PCC) applied to an asymmetrical six-phase induction machine, where a space vector modulation with specific vectors is used in order to improve the (x-y) currents, the steady-state error and total harmonic distortion (THD) at high operation speeds. Experimental results are presented to demonstrate the characteristics of the proposed control technique in terms of current tracking, (x-y) currents reduction and THD of stator currents compared to the classic PCC.

中文翻译:


一种应用于六相感应电机驱动的新型调制模型预测控制



基于模型的预测控制技术具有有限集控制,由于其控制灵活性和快速动态响应,被认为是控制多相驱动器的一个有趣的选择。然而,这些技术存在一些缺点,例如计算成本高、(xy) 电流降低效果较差以及稳态误差,尤其是在高速情况下。为了改善其中一些缺点,调制级作为替代方案被提出。然而,其中一些缺点尚未得到改善。本文提出了一种应用于不对称六相感应电机的经典预测电流控制 (PCC) 的新方法,其中使用具有特定矢量的空间矢量调制来改善 (xy) 电流、稳态误差和高运行速度下的总谐波失真 (THD)。实验结果证明了与经典 PCC 相比,所提出的控制技术在电流跟踪、(xy) 电流减少和定子电流 THD 方面的特性。
更新日期:2024-08-22
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