RT info:eu-repo/semantics/article
T1 Improving steady state accuracy in field-weakened six-phase induction machines with integrator and modulated predictive control
A1 Ayala Silva, Magno Elías
A1 Doval Gandoy, Jesus
A1 Rodas Benítez, Jorge Esteban
A1 González Barrios, Osvaldo Julián
A1 Gregor Recalde, Raul Igmar
A1 Delorme, Larizza
A1 Romero, Carlos
A1 Fleitas, Ariel
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
AB Finite-control-set model predictive control techniques are considered an exciting option for high-performance control multiphase drives due to their fast dynamic response, ability to handle multiple targets and constraints, and adaptability to different power converters or machine models. However, these techniques have some drawbacks, such as poor current reduction (𝑥−𝑦) and steady-state error (𝑑−𝑞), especially in the field weakening zone. Although some proposals have addressed these issues by adding modulation stages or designing new cost functions, there is still room for improvement, especially in steady-state error reduction. Therefore, this article proposes to include an integrator attached to a modulated predictive current controller applied to a six-phase induction machine to improve its performance throughout the entire speed range regarding steady-state error mitigation. Experimental tests were carried out to validate the effectiveness of the proposed controller. Tests were carried out evaluating the reduction of the steady-state error (𝑑−𝑞), the current tracking, the (𝑥−𝑦) currents reduction and the total harmonic distortion.
PB Multidisciplinary Digital Publishing Institute
YR 2024
FD 2024-03-01
LK http://hdl.handle.net/20.500.14066/4395
UL http://hdl.handle.net/20.500.14066/4395
LA eng
NO Ayala, M., Doval Gandoy, J., Rodas, J., Gonzalez, O., Gregor, R., Delorme, L., Romero, C., Fleitas, A. (2024). Improving steady state accuracy in field-weakened six-phase induction machines with integrator and modulated predictive control. Electronics, 13(5), 952. https://doi.org/10.3390/electronics13050952
NO Correspondence: mayala@ing.una.py (M.A.); jdoval@uvigo.es (J.D.-G.)
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 14-may-2024