Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

Chenhui Yu, Fengxiang Wang, Guiying Lin, Cristian Garcia, Jose Rodriguez

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

Resumen

In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas2622-2626
Número de páginas5
ISBN (versión digital)9781728153018
DOI
EstadoPublicada - 29 nov 2020
Evento9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duración: 29 nov 20202 dic 2020

Serie de la publicación

Nombre2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conferencia

Conferencia9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
País/TerritorioChina
CiudadNanjing
Período29/11/202/12/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Control y optimización

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