A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives

Jacopo Riccio, Petros Karamanakos, Shafiq Odhano, Mi Tang, Mauro Di Nardo, Pericle Zanchetta

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

7 Citations (Scopus)
7 Downloads (Pure)

Abstract

This paper presents a finite control set model predictive control (FCS-MPC) method that improves the performance of a synchronous reluctance machine drive. As shown, when a high sampling-to-switching frequency ratio is used with FCS-MPC, the stator current distortions can be significantly reduced, allowing for less losses in the machine. Moreover, the FCS-MPC steady-state performance is enhanced by introducing an integrating element into the cost function to ensure accurate output reference tracking. Finally, the adopted drive model that relies on an identified accurate magnetic model of the machine further improves the robustness of the discussed control scheme. The presented simulation and preliminary experimental results verify the effectiveness of the discussed method.
Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition (ECCE)
PublisherIEEE
Pages4704-4710
Number of pages7
ISBN (Electronic)978-1-7281-5135-9
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in conference proceedings
EventIEEE Energy Conversion Congress and Exposition - , Canada
Duration: 10 Oct 202114 Oct 2021

Publication series

NameIEEE Energy Conversion Congress and Exposition
ISSN (Electronic)2329-3748

Conference

ConferenceIEEE Energy Conversion Congress and Exposition
Country/TerritoryCanada
Period10/10/2114/10/21

Keywords

  • Energy conversion
  • Stators
  • Drives
  • Distortion
  • Cost function
  • Robustness
  • Steady-state

Publication forum classification

  • Publication forum level 1

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