Bubbling phenomenon in a unipolar SPWM inverter

Anderson Fabian Abella, Jose D. Morcillo, Fabiola Angulo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE 5th Colombian Conference on Automatic Control, CCAC 2021
EditorsDiana Marcela Ovalle Martinez, Luis Francisco Combita Alfonso
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-173
Number of pages5
ISBN (Electronic)9781665418836
ISBN (Print)9781665418836
DOIs
Publication statusPublished - 2021
Event5th IEEE Colombian Conference on Automatic Control, CCAC 2021 - Ibague, Colombia
Duration: 19 Oct 202122 Oct 2021

Publication series

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

Conference

Conference5th IEEE Colombian Conference on Automatic Control, CCAC 2021
Country/TerritoryColombia
CityIbague
Period19/10/2122/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence

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