Predictive Current Control for Three-level T-type Based Six-phase Induction Motor Drive

Mohamed Mamdouh*, Aboubaker Salem, Mohamed Ali Abido

*Corresponding author for this work

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

Abstract

Model predictive controller has been widely implemented for different power electronic converters motivated by their well-known merits. However, the computation burden increases tremendously if the converter's voltage levels and/or phases are increased. This results in longer sample time and deteriorated performance. In this work, predictive current control (PCC) of a six-phase induction motor (IM) fed from a three-level voltage source (3L-VSI) is explored. First, the available 729 voltage vectors (VVs) are examined and classified according to their magnitudes into 24 groups. Then, based on the controller objectives, one group consisting only of 13 VVs is nominated. This group not only satisfies torque and flux tracking requirements but also greatly reduces the effect of the unwanted circulating xy currents. The effectiveness of the proposed method is validated using an experimental test bench.

Original languageEnglish
Title of host publication2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PublisherIEEE Computer Society
ISBN (Electronic)9781665464413
DOIs
StatePublished - 2023
Event2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States
Duration: 16 Jul 202320 Jul 2023

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2023-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/TerritoryUnited States
CityOrlando
Period16/07/2320/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Predictive current control
  • multi-phase induction motor
  • three-level inverter

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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