Bubbling phenomenon in a unipolar SPWM inverter

Anderson Fabian Abella, Jose D. Morcillo, Fabiola Angulo

Resultado de la investigación

Resumen

Bubbling phenomenon, bifurcations, and high periodic solutions are present in different applications of power inverters and have been widely reported in the literature. In particular, in this paper we present the dynamic analysis of a buck-inverter power system with unipolar switching. By changing the PWM scheme from bipolar to unipolar, it is shown how bifurcations, chaos, and high periodic solutions are suppressed but the bubbling phenomenon is preserved. Even more, a less pronounced bubbling dynamics is achieved and only appearing on the sinusoidal signal's downward slope of 1T-periodic solutions. In addition, an algorithm is developed to observe the bubbling phenomenon in more detail by detecting the time-on of the switches in every system state. This approach shows the transition of the system states in a phase period and the affectation of the switching dynamics due to the bubbling phenomenon.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021
EditoresDiana Marcela Ovalle Martinez, Luis Francisco Combita Alfonso
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas169-173
Número de páginas5
ISBN (versión digital)9781665418836
ISBN (versión impresa)9781665418836
DOI
EstadoPublished - 2021
Evento5th IEEE Colombian Conference on Automatic Control, CCAC 2021 - Ibague
Duración: 19 oct. 202122 oct. 2021

Serie de la publicación

NombreProceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021

Conference

Conference5th IEEE Colombian Conference on Automatic Control, CCAC 2021
País/TerritorioColombia
CiudadIbague
Período19/10/2122/10/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

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

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