Model Predictive Control of Six-Phase Induction Motor Drives Using Virtual Voltage Vectors

Model Predictive Control of Six-Phase Induction Motor Drives Using Virtual Voltage Vectors
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DOI:
10.1109/tie.2017.2714126
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发表时间:
2018
影响因子:
7.7
通讯作者:
I. González‐Prieto;M. Durán;J. J. Aciego-J.;Cristina Martín;F. Barrero
I. González‐Prieto;M. Durán;J. J. Aciego-J.;Cristina Martín;F. Barrero
中科院分区:
计算机科学1区
文献类型:
--
作者:
I. González‐Prieto;M. Durán;J. J. Aciego-J.;Cristina Martín;F. Barrero

文献摘要

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感应电机的标准磁场定向控制(IM)的最新竞争者是有限控制集模型预测控制(FCS-MPC)。然而,扩展到多相驱动器面临着同时调节磁通/转矩和二次电流分量(文献中通常称为$x-y$)的可能性。在整个采样周期内采用单一开关状态不可避免地会出现$x-y$电压/电流,从而增加系统损耗和恶化电能质量。这些循环电流变得高得令人无法忍受,单位为$x-y$,开关频率减小。为了克服这一局限性,本工作提出了将虚拟电压矢量(VVS)集成到FCS-MPC结构中。VVS确保采样期间的平均$x-y$电压为零,而MPC方法选择最合适的VV来满足磁通/转矩要求。六相算例的实验结果与标准FCS-MPC和所提出的方法进行了比较,证实了基于VV的MPC保持了磁链/转矩调节,并成功地提高了电能质量和效率。
The most serious and recent competitor to the standard field oriented control for induction motors (IM) is the finite control set model predictive control (FCS-MPC). Nevertheless, the extension to multiphase drives faces the impossibility to simultaneously regulate the flux/torque and the secondary current components (typically termed $x - y$ in the literature). The application of a single switching state during the whole sampling period inevitably implies the appearance of $x - y$ voltage/currents that increase the system losses and deteriorate the power quality. These circulating currents become intolerably high as per the unit $x - y$ impedance and the switching frequency diminish. Aiming to overcome this limitation, this work suggests the integration of virtual voltage vectors (VVs) into the FCS-MPC structure. The VVs ensure null $x - y$ voltages on average during the sampling period and the MPC approach selects the most suitable VV to fulfill the flux/torque requirements. The experimental results for a six-phase case study compare the standard FCS-MPC with the suggested method, confirming that the VV-based MPC maintains the flux/torque regulation and successfully improves the power quality and efficiency.