RT info:eu-repo/semantics/article
T1 Sequential model predictive torque control for six-phase machines without weighting factors
A1 Rodas Benítez, Jorge Esteban
A1 González Barrios, Osvaldo Julián
A1 Maidana Rojas, Paola Carolina
A1 Medina Morel, Christian David
A1 Doval Gandoy, Jesus
A1 Norambuena, Margarita
A1 Ayala Silva, Magno Elías
A1 Rodríguez, José
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
K1 Cost function
K1 Delays
K1 Induction machines
K1 Predictive control
K1 Predictive models
K1 Rotors
K1 Torque
K1 Torque control
K1 Vectors
K1 Voltage control
AB Model predictive control has become a powerful and versatile control strategy, particularly effective in controlling multiphase machines. One of its key advantages is the ability to address multiple control objectives by incorporating constraints directly into the cost function. However, this feature typically necessitates the challenging task of tuning weighting factors to balance competing objectives effectively. This paper proposes a sequential model predictive torque control strategy for six-phase induction machines, eliminating the need for weighting factors. The proposed approach simplifies the control design process while maintaining high performance. Simulation and experimental results demonstrate the method’s effectiveness, showing accurate torque, flux tracking, and appropriate stator currents regulation in the α − β and x − y planes. These results highlight the potential of the proposed control strategy for practical implementation in advanced multiphase drive systems.
PB Institute of Electrical and Electronics Engineers
YR 2025
FD 2025-04-21
LK http://hdl.handle.net/20.500.14066/4575
UL http://hdl.handle.net/20.500.14066/4575
LA eng
NO Corresponding author: Jorge Rodas (e-mail: jrodas@ing.una.py).
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026