Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones

Ali Sarajian, Quanxue Guan, Ibrahim Harbi, Davood Arab Khaburi, Ralph Kennel, Cristian Garcia, Patrick Wheeler, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Modulated Model Predictive Control (MMPC) techniques can be applied to enhance matrix converter (MC) performance in the linear modulation zone (LMZ). However, extending the converter operation in the overmodulation zone (OMZ) remains a problem. A key limitation of existing control methods in the OMZ is using the duty cycles calculated for the LMZ without considering the voltage or current reference vectors. This approach can lead to inaccurate calculations and a slower transient response when switching between the two operational zones. To overcome this challenge, a novel reference vector calculation method is proposed in this paper. The proposed approach simplifies the duty cycle calculation and ensures optimal performance in the OMZ by introducing new vector calculations and dividing the OMZ into two subzones. This method also minimizes the transition time between LMZ and OMZs to maximize the usable operating range of MCs. Simulation and experimental results validate the proposed method outperforms two other MMPC methods in improving the MC performance, reducing the transition times between operational zones, and maximizing the converter utilization.

Original languageEnglish
Pages (from-to)66-77
Number of pages12
JournalIEEE Open Journal of Power Electronics
Volume6
DOIs
StatePublished - 2025

Keywords

  • Matrix converter
  • modulated model predictive control
  • over-modulation
  • space vector modulation

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