RT info:eu-repo/semantics/article
T1 Identification of magnetization inductance for six-phase induction machines driven by modulated predictive control in field weakening zone
A1 Ayala Silva, Magno Elías
A1 Doval Gandoy, Jesús
A1 Rodas Benítez, Jorge Esteban
A1 González Barrios, Osvaldo Julián
A1 Delorme, Larizza
A1 Maidana Rojas, Paola Carolina
A1 Medina Morel, Christian David
A1 Gregor Recalde, Raúl Igmar
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
AB Finite-control-set model predictive control (FCS-MPC) has achieved superiority in managing multiphase induction machines due to its quick dynamic response, control flexibility, and overall good performance. Its advantages, including simplicity, computational efficiency, compensation for system perturbations, and effective handling of multivariable problems, have made it a competitive alternative in various industrial applications. Nevertheless, FCS-MPC has some limitations. It is highly dependent on the accuracy of the predictive model’s parameters. Unfortunately, the estimation of magnetizing inductance, the most critical factor, especially in the weakening field region, has not been studied yet. Focusing on this gap, this article proposes a technique to estimate the magnetizing inductance in the field weakening zone for a six-phase asymmetrical induction machine driven by the FCS-MPC. Experimental tests have verified the effectiveness of the proposed method, considering stator currents and rotor speed tracking, as well as a reduction in the ( x−y ) currents.
PB Institute of Electrical and Electronics Engineers
YR 2024
FD 2024-09-10
LK http://hdl.handle.net/20.500.14066/4475
UL http://hdl.handle.net/20.500.14066/4475
LA eng
NO Ayala, M., Doval Gandoy, J., Rodas, J., González, O., Delorme, L., Maidana, P., Medina, C., & Gregor, R. (2024). Identification of magnetization inductance for six-phase induction machines driven by modulated predictive control in field weakening zone. IEEE Access, 12, 128349-128359.https://doi.org/10.1109/ACCESS.2024.3457428
NO Corresponding author: Magno Ayala (mayala@ing.una.py)
NO Society Section: IEEE Power & Energy Society Section
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 22-dic-2024