RT info:eu-repo/semantics/article
T1 Virtual-vector-based predictive torque control for six-phase IM with reduced computational burden and copper losses
A1 González Barrios, Osvaldo Julián
A1 Doval Gandoy, Jesús
A1 Ayala Silva, Magno Elías
A1 Rodas Benítez, Jorge Esteban
A1 Maidana Rojas, Paola Carolina
A1 Medina Morel, Christian David
A1 Romero Aquino, Carlos Alberto Aníbal
A1 Delorme Diarte, Silvia Larizza
A1 Gregor Recalde, Raúl Igmar
A1 Maciel Paredes, Ricardo Martín
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
K1 Copper
K1 Cost function
K1 Harmonic analysis
K1 Induction machines
K1 Switches
K1 Torque
K1 Torque control
K1 Torque measurement
K1 Vectors
K1 Voltage
AB Finite-control-set model predictive control (FCS-MPC) has become widely accepted in multiphase drives due to its adaptability and robust dynamic response. However, multiphase machines, characterized by low secondary plane (x−y) impedance, which is absent in their three-phase counterparts, often exhibit poor current quality under conventional FCS-MPC strategies. This paper proposes a novel predictive torque control (PTC) scheme based on virtual vectors to improve (x−y) current regulation by ensuring zero average (x−y) voltage generation. The proposed method is compared with classic PTC, which cannot achieve proper (x−y) current regulation because it uses a single switching state during the sampling period. Experimental validation includes a detailed comparison of torque and flux behavior, (x−y) current mean square error, and total harmonic distortion of the fundamental stator currents, demonstrating the effectiveness of the proposed control approach under various operating conditions. Experimental results confirm reductions of approximately 79.7% in computational burden and 98.4% in copper losses when using PTC-VV compared to classic PTC. An asymmetrical six-phase induction machine is used as the case study.
PB Institute of Electrical and Electronics Engineers
YR 2025
FD 2025-07-30
LK http://hdl.handle.net/20.500.14066/4621
UL http://hdl.handle.net/20.500.14066/4621
LA eng
NO González, O., Doval-Gandoy, J., Ayala, M., Rodas, J., Maidana, P., Medina, C., Romero, C., Delorme, L., Gregor, R., & Maciel, R. (2025). Virtual-vector-based predictive torque control for six-phase IM with reduced computational burden and copper losses. IEEE Open Journal of Power Electronics, 6, 1371-1381.https://doi.org/10.1109/OJPEL.2025.3594307
NO Corresponding author: Osvaldo González (e-mail: ogonzalez@ing.una.py).
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026