Simplified sinusoidal pulse width modulation for cascaded half-bridge multilevel inverter

Kotb M. Kotb*, Abd El Wahab Hassan, Essam M. Rashad

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

This paper presents a simplified sinusoidal pulse width modulation (SSPWM) proposed to control a half-bridge multilevel inverter. This topology has less number of switching components compared to conventional types of multilevel inverter. It can be supplied from separated dc sources or renewable energy sources like solar energy via photovoltaic modules. This topology can be a symmetric or an asymmetric inverter via controlling the magnitude of dc sources. The asymmetric choice provides higher number of levels with less number of switches and dc sources. The proposed technique is a high switching frequency modulation based on the sinusoidal pulse width modulation. The SSPWM can be achieved using only one modulating, carrier signals and throughout a certain logic arrangement depends on number of levels. A laboratory system was built based upon the (NI PCI-6013) data acquisition controller and experimental results for single phase fifteen-level inverter show a well-matching and good similarity with the simulation results.

Original languageEnglish
Title of host publication2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings
EditorsOmar H. Abdalla
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages907-913
Number of pages7
ISBN (Electronic)9781467390637
DOIs
StatePublished - 30 Jan 2017
Externally publishedYes

Publication series

Name2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Asymmetric Inverters
  • Half-bridge multilevel inverter
  • SPWM

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Control and Optimization

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