Modulated model predictive control of assymetric source dual inverter system for open end winding induction motor drive

Shajjad Chowdhury, Patrick Wheeler, Chris Gerada, Marco Rivera

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

5 Citations (Scopus)

Abstract

This paper describes a Modulated Model Predictive Control (MMPC) algorithm to control an asymmetric source dual inverter system for open end induction motor. The control scheme introduces a modulation scheme inside the cost function algorithm to overcome the challenge of variable switching frequency, inherent with model predictive control algorithm. The proposed MMPC algorithm improves the waveform quality in comparison with classic model predictive control algorithm. Simulation results are presented to validate the analysis.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781509064250
DOIs
Publication statusPublished - 6 Apr 2018
Externally publishedYes
Event2017 IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duration: 4 Dec 20177 Dec 2017

Publication series

NameProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
Volume2018-January

Conference

Conference2017 IEEE Southern Power Electronics Conference, SPEC 2017
Country/TerritoryChile
CityPuerto Varas
Period4/12/177/12/17

Keywords

  • Dual inverter
  • Floating Bridge (FB)
  • Open End Winding Induction Machine (OEWIM)
  • Space vector

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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