RT Journal Article
T1 Open-Switch Fault Detection in Five-Phase Induction Motor Drives Using Model Predictive Control.
A1 González Prieto, Ignacio
A1 Durán-Martínez, Mario Javier
A1 Ríos-García, Natalia
A1 Barrero, Federico
A1 Martín, Cristina
K1 Motores de inducción
K1 Ingeniería eléctrica
AB Achieving a self-reconfigurable fault-tolerant control in multiphase machines requires a fast fault detection and localization. Most fault detection techniques inherit the three-phase approach by defining fault indices in a per-phase basis. A recent approach suggests an alternative fault detection mechanism based on vector space decomposition (VSD) variables, but the study is limitedto open-phase faults (OPFs) for a six-phase drive that is regulated under field-oriented control. It is known, however, that 1) the open-switch faults (OSFs) in the converter are more likely than the OPF in the machine and 2) the drive performance in the event of an open-circuit fault is more critical when model predictive control (MPC) is used. This work extends the study of the VSD fault detectionmethod to multiphase machines with different number of phases (five), control strategy (MPC), and type of faults (OPF and OSF). Although experimental results show that MPC misbehaves after the fault occurrence, the fast detection provided by theVSD approach allows a satisfactory transition to postfault mode of operation.
PB IEEE
YR 2017
FD 2017-08-31
LK https://hdl.handle.net/10630/29899
UL https://hdl.handle.net/10630/29899
LA eng
NO I. González-Prieto, M. J. Duran, N. Rios-Garcia, F. Barrero and C. Martín, "Open-Switch Fault Detection in Five-Phase Induction Motor Drives Using Model Predictive Control," in IEEE Transactions on Industrial Electronics, vol. 65, no. 4, pp. 3045-3055, April 2018, doi: 10.1109/TIE.2017.2748052
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026