Control of a direct matrix converter induction motor drive with modulated model predictive control

Manjusha Vijayagopal, Lee Empringham, Liliana De Lillo, Luca Tarisciotti, Pericle Zanchetta, Patrick Wheeler

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

21 Citations (Scopus)

Abstract

This paper investigates the use of a novel model-predictive control strategy to control an induction motor fed by a matrix converter. The proposed control method combines the features of classical Model Predictive Control and the Space Vector Modulation technique into a Modulated Model Predictive Control. This new solution maintains all the characteristics of Model Predictive Control (such as fast transient response, multi-objective control using only a single feedback loop, easy inclusion of nonlinearities and constraints of the system, the flexibility to include other system requirements within the controller) adding the advantages of operating at a fixed switching frequency and improving the quality of the controlled waveforms. Simulation results employing the control method to a direct matrix converter induction motor drive are presented.

Original languageEnglish
Title of host publication2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4315-4321
Number of pages7
ISBN (Electronic)9781467371506
DOIs
Publication statusPublished - 27 Oct 2015
Event7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada
Duration: 20 Sept 201524 Sept 2015

Publication series

Name2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conference

Conference7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Country/TerritoryCanada
CityMontreal
Period20/09/1524/09/15

Keywords

  • Fixed switching frequency
  • Induction Motor
  • Matrix converter
  • Model Predictive Control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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