RT info:eu-repo/semantics/article
T1 Weighting-factor-free sequential predictive torque control using virtual vectors in six-phase IM
A1 Maidana Rojas, Paola Carolina
A1 Medina Morel, Christian David
A1 Doval Gandoy, Jesús
A1 Rodas Benítez, Jorge Esteban
A1 González Barrios, Osvaldo Julián
A1 Ayala Silva, Magno Elías
A1 Gregor Recalde, Raúl Igmar
K1 Current
K1 Modeling
K1 Planing
K1 Predictive control
K1 Stators
K1 Switches
K1 Torque control
K1 Torque
K1 Vectors
K1 Voltage
AB Finite-control-set model predictive torque control of multiphase induction machines is often limited by heuristic tuning of weighting factors and inadequate secondary-plane current regulation. To address these limitations, this paper proposes a weighting-factor-free sequential model predictive torque control strategy with virtual voltage vector synthesis (SMPTC-VV) for six-phase induction machine drives supplied by dual two-level voltage source inverters. The proposed scheme employs a sequential optimisation structure that removes weighting factors from the cost function formulation. Virtual voltage vectors are incorporated to suppress non-torque-producing currents in the x−y plane, enabling simultaneous regulation of electromagnetic torque, stator flux, and secondary-plane currents. Experimental validation under steady-state and dynamic conditions, including ±25% magnetising inductance mismatch, demonstrates accurate torque and flux regulation, fast transient response, and improved current quality. The proposed strategy achieves improvements of 10.08% and 53.41% in THDα, and 54.26% and 69.21% in THDa, compared to SMPTC and classical PTC, respectively. In addition, flux regulation is improved by 28.03% and 31.13% relative to SMPTC and classical PTC, respectively, while non-torque-producing x−y currents are improved by 75.40% and 82.58% with respect to SMPTC and classical PTC. The computational effort is limited to 966 floating-point operations per sampling period, corresponding to improvements of 50.66% and 75.66% relative to SMPTC and classical PTC, respectively. The results demonstrate an efficient and experimentally validated predictive torque control solution for high-performance multiphase drives.
PB Institute of Electrical and Electronics Engineers
YR 2026
FD 2026-08-04
LK http://hdl.handle.net/20.500.14066/4826
UL http://hdl.handle.net/20.500.14066/4826
LA eng
NO Maidana, P., Medina, C., Doval-Gandoy, J., Rodas, J., Gonzalez, O., Ayala, M., & Gregor, R. (2026). Weighting-factor-free sequential predictive torque control using virtual vectors in six-phase IM. IEEE Open Journal of Power Electronics, 7, 2288-2300.https://doi.org/10.1109/OJPEL.2026.3719597
NO Corresponding author: Paola Maidana (e-mail: pmaidana@fiuna.edu.py).
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 22-sep-2026