Model-Free Predictive Control based on ARX Representation: A Comparative Assessment with Proportional-Integral Regulator

Catalina Gonzalez-Castano, Freddy Flores-Bahamonde, Hector Young, Rasool Heydari, Sanaz Sabzevari, Jose Rodriguez

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

Resumen

This paper presents a performance comparison between the well-known proportional-integral regulator based on pulse-width-modulation (PWM) and the novel model-free predictive control for the current regulation of a three-phase two-level voltage-source inverter. Recently, model-free predictive control has been proposed to provide an accurate prediction of the current control without previous knowledge of the physical system. This approach is realized with a recursive least squares algorithm to identify the parameters of an auto-regressive with exogenous input model. Simulated results verify the high performance of model-free predictive control compared to the linear regulator under model parameter mismatch.

Idioma originalInglés
Título de la publicación alojada6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas953-958
Número de páginas6
ISBN (versión digital)9781665425575
DOI
EstadoPublicada - 2021
Evento6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, China
Duración: 20 nov. 202122 nov. 2021

Serie de la publicación

Nombre6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

Conferencia

Conferencia6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
País/TerritorioChina
CiudadJinan
Período20/11/2122/11/21

Áreas temáticas de ASJC Scopus

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

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