RT Journal Article
T1 A novel modulated model predictive control applied to six-phase induction motor drives
A1 Ayala, Magno
A1 Doval Gandoy, Jesús
A1 Rodas, Jorge
A1 González, Osvaldo
A1 Gregor, Raúl
A1 Rivera, Marco
K1 3307 Tecnología Electrónica
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 paper proposes a novel approach to the classic predictive current control 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 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 total harmonic distortion of stator currents compared to the classic predictive current control.
PB IEEE Transactions on Industrial Electronics
SN 02780046
YR 2021
FD 2021-05
LK http://hdl.handle.net/11093/7236
UL http://hdl.handle.net/11093/7236
LA eng
NO IEEE Transactions on Industrial Electronics, 68(5): 3672-3682 (2021)
DS Investigo
RD 19-abr-2025