RT info:eu-repo/semantics/article
T1 A novel modulated model predictive control applied to six-phase induction motor drives
A1 Ayala Silva, Magno Elías
A1 Doval Gandoy, Jesús
A1 Rodas Benítez, Jorge Esteban
A1 González Barrios, Osvaldo Julián
A1 Gregor Recalde, Raúl Igmar
A1 Rivera, Marco
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
AB Model-based predictive control techniques, with finite set control, are considered an interesting option to control multiphase drives due to their control flexibility and fast dynamic response. However, those techniques have some drawbacks such as a high computational cost, poor (x-y) currents reduction, and steady-state error, especially at high speeds. To improve some of these drawbacks, modulation stages have been presented as an alternative. However, some of those drawbacks have not been improved. This article proposes a novel approach to the classic predictive current control (PCC) applied to an asymmetrical six-phase induction machine, where a space vector modulation with specific vectors is used in order to improve the (x-y) currents, the steady-state error and total harmonic distortion (THD) at high operation speeds. Experimental results are presented to demonstrate the characteristics of the proposed control technique in terms of current tracking, (x-y) currents reduction and THD of stator currents compared to the classic PCC.
PB IEEE Industrial Electronics Society
SN 0278-0046
YR 2020
FD 2020-04-09
LK http://hdl.handle.net/20.500.14066/4436
UL http://hdl.handle.net/20.500.14066/4436
LA eng
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 09-nov-2024