Robust Predictive Control of 3L-NPC Converter Fed PMSM Drives for Electrical Car Applications

Zhenbin Zhang, Jose Rodriguez, Ralph Kennel

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

Permanent-magnet synchronous motor (PMSM) fed by three-level neutral-point-clamped (3L-NPC) voltage source power converter is an attractive configuration for highperformance electrical car systems. For such topology, finite control set model predictive control (FCS-MPC) is a very promising alternative. However, due to its fully model-based concept, variations of system parameter (in particular, the stator inductance and rotor permanent-flux linkage) will affect the system control performances. In this work, a robust FCS predictive current control (PCC) method with revised predictions is proposed and validated. Experimental results reveal that with the proposed solution not only the system robustness against parameter variations is improved, but also the control variable ripples are evidently reduced in comparison with the conventional solution. The proposed method has been implemented with a fully FPGA based real-time hardware and tested at a lab-constructed test-bench.

Idioma originalInglés
Título de la publicación alojada2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas5204-5208
Número de páginas5
ISBN (versión digital)9781479973118
DOI
EstadoPublicada - 3 dic 2018
Evento10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, Estados Unidos
Duración: 23 sep 201827 sep 2018

Conferencia

Conferencia10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
PaísEstados Unidos
CiudadPortland
Período23/09/1827/09/18

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Control y optimización
  • Redes de ordenadores y comunicaciones
  • Hardware y arquitectura
  • Gestión y sistemas de información

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