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
中科院分区:
文献类型:
--
作者:
I. González‐Prieto;M. Durán;J. J. Aciego-J.;Cristina Martín;F. Barrero
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.