RT info:eu-repo/semantics/conferenceObject
T1 Model predictive torque control based on virtual vectors for six-phase induction machines
A1 González Barrios, Osvaldo Julián
A1 Doval Gandoy, Jesus
A1 Ayala Silva, Magno Elías
A1 Maidana Rojas, Paola Carolina
A1 Medina Morel, Christian David
A1 Rodas Benítez, Jorge Esteban
A1 Romero Aquino, Carlos Alberto Aníbal
A1 Delorme Diarte, Silvia Larizza
A1 Maciel, Ricardo
A1 Gregor Recalde, Raúl Igmar
K1 Predictive models
K1 Stators
K1 Switches
K1 Torque
K1 Torque control
K1 Transportation
K1 Vectors
AB Model Predictive Control (MPC) has become an effective control strategy, particularly in Multiphase Induction Machines (MIMs). Unlike their three-phase counterparts, MIMs have additional degrees of freedom, known as (x − y) voltages or currents. MPC can integrate diverse constraints through a predefined cost function to regulate (x − y) components, but this can come at the cost of disturbing the flux and torque production. To address this challenge, a new approach has been introduced in this paper: Model Predictive Torque Control using Virtual Vectors (PTC-VV) for a six-phase IM. This approach aims to regulate copper losses in the (x − y) plane, which classic PTC cannot achieve using a single switching state during the sampling period. This work demonstrates the effectiveness of using virtual vectors in torque control for six-phase IMs through comprehensive simulation studies. The PTC-VV approach provides robust reference tracking for torque, flux, and stator (α − β) and (x − y) current regulations. This results in enhanced efficiency and adaptability of the control system, marking a notable advancement in PTC techniques. Additionally, this approach reduces the (x − y) currents in six-phase IMs.
PB Institute of Electrical and Electronics Engineers
SN 979-8-3503-1766-4
YR 2024
FD 2024-07-24
LK http://hdl.handle.net/20.500.14066/4522
UL http://hdl.handle.net/20.500.14066/4522
LA eng
NO González, O., Doval Gandoy, J., Ayala, M., Maidana, P., Medina, C., Rodas, J., Romero, C., Delorme, L., Maciel, R., & Gregor, R. (2024, 19-21 de junio). Model predictive torque control based on virtual vectors for six-phase induction machines [Artículo de la Conferencia]. 2024 IEEE Transportation Electrification Conference and Expo (ITEC), Chicago, Estados Unidos.https://doi.org/10.1109/ITEC60657.2024.10599075
NO Correspondencia: Osvaldo González, ogonzalez@ing.una.py
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 12-mar-2025