Overview of model predictive control for induction motor drives
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Archivos
Fecha
2016-06
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Institute of Electrical and Electronics Engineers Inc.
Nombre de Curso
Licencia CC
Atribución/Reconocimiento 4.0 Internacional
CC BY 4.0
Deed
Licencia CC
https://creativecommons.org/licenses/by/4.0/deed.es
Resumen
Model predictive control (MPC) has attracted widespread attention in both academic and industry communities due to its merits of intuitive concept, quick dynamic response, multi-variable control, ability to handle various nonlinear constraints, and so on. It is considered a powerful alternative to field oriented control (FOC) and direct torque control (DTC) in high performance AC motor drives. Compared to FOC, MPC eliminates the use of internal current control loops and modulation block, hence featuring very quick dynamic response. Compared to DTC, MPC uses a cost function rather than a heuristic switching table to select the best voltage vector, producing better steady state performance. In spite of the merits above, MPC also presents some drawbacks such as high computational burden, nontrivial weighting factor tuning, high sampling frequency, variable switching frequency, model/parameter dependence and relatively high steady ripples in torque and stator flux. This paper presents the state of the art of MPC in high performance induction motor (IM) drives, and in particular the progress on solving the drawbacks of conventional MPC. Finally, one of the improved MPC is compared to FOC to validate its superiority. It is shown that the improved MPC has great potential in the future high performance AC motor drives. © 2016 IEEE. All rights reserved.
Notas
Indexación: Scopus
Palabras clave
Direct torque control (DTC), Field oriented control(FOC), Induction motor (IM), Model predictive control (MPC)
Citación
Chinese Journal of Electrical Engineering Volume 2, Issue 1, Pages 62 - 76June 2016 Article number 7933116
DOI
10.23919/CJEE.2016.7933116