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Operating point dependent variable switching point predictive current control for PMSM drives

  • Sebastian Wendel
  • , Petros Karamanakos
  • , Armin Dietz
  • , Ralph Kennel
  • Institute ELSYS
  • Tampere University

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

8 Scopus citations

Abstract

This contribution presents a direct model predictive current control approach that achieves favorable performance during transients while minimizing the torque and current ripples at steady-state operation by increasing the granularity at which switching can be performed. To meet the control goals, an optimization problem is solved in real-time that decides whether only one discrete voltage space vector or a combination of two is selected. In the latter case, a variable switching point, i.e., a time instant within the control interval at which the converter switches change state, is computed. The proposed method is advantageous, e.g., for electric drives in machine tools, in which, depending on the operating point, fast dynamics and a low torque ripple are important. The approach is evaluated at the example of a two-level voltage source inverter driving a permanent magnet synchronous machine.

Original languageEnglish
Title of host publicationProceedings - PRECEDE 2019
Subtitle of host publication2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538694145
DOIs
StatePublished - May 2019
Event2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duration: 31 May 20192 Jun 2019

Publication series

NameProceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

Conference

Conference2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
Country/TerritoryChina
CityQuanzhou
Period31/05/192/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Direct model predictive control (DMPC)
  • Finite control set model predictive control (FCS-MPC)
  • SoC FPGA
  • Variable switching point predictive current control (VSP2CC)

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