Modulated Model Predictive Current Control of a Four-Leg Inverter

Venkata Yaramasu, Kristiyan Milev, Apparao Dekka, Marco Rivera, Jose Rodriguez, Felix Rojas

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

4 Citas (Scopus)

Resumen

A novel modulated model predictive current control for a two-level four-leg voltage source inverter is proposed in this paper. The proposed scheme is designed by combining the operating principles of traditional predictive control with the three-dimensional space vector modulation to enhance the output power quality, while producing fixed switching frequency operation and fast dynamic response for the four-leg inverter. In contrast to the classical predictive control which applies the switching state corresponding to optimal cost function, the proposed controller uses three active vectors and a zero vector to optimize the cost function. Finally, the switching states for four-leg inverter are produced by a modulation stage containing nine-segment switching pattern similar to the classical three-dimensional space vector modulation. The proposed control scheme is validated through simulations considering three-phase unbalanced reference currents and loads.

Idioma originalInglés
Título de la publicación alojada2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728158495
DOI
EstadoPublicada - feb 2020
Evento11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, República Islámica de Irán
Duración: 4 feb 20206 feb 2020

Serie de la publicación

Nombre2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conferencia

Conferencia11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
País/TerritorioRepública Islámica de Irán
CiudadTehran
Período4/02/206/02/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería automovilística
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

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