RT Journal Article
T1 Model predictive control of six-phase induction motor drives using virtual voltage vectors
A1 González Prieto, Ignacio
A1 Durán-Martínez, Mario Javier
A1 Aciego Gallardo, Juan José
A1 Martín, Cristina
A1 Barrero, Federico
K1 Motores de inducción
K1 Ingeniería eléctrica
AB 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.
PB IEEE
YR 2017
FD 2017-06
LK https://hdl.handle.net/10630/29885
UL https://hdl.handle.net/10630/29885
LA eng
NO 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.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026