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oai:riuma.uma.es:10630/298852026-02-03T11:36:26Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc González Prieto, Ignacio author Durán-Martínez, Mario Javier author Aciego Gallardo, Juan José author Martín, Cristina author Barrero, Federico author 2017-06 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. I. Gonzalez-Prieto, M. J. Duran, J. J. Aciego, C. Martin and F. Barrero, "Model Predictive Control of Six-Phase Induction Motor Drives Using Virtual Voltage Vectors," in IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 27-37, Jan. 2018, doi: 10.1109/TIE.2017.2714126. https://hdl.handle.net/10630/29885 10.1109/TIE.2017.2714126 Motores de inducción Ingeniería eléctrica Model predictive control of six-phase induction motor drives using virtual voltage vectors