Model predictive control with reduced integration step size for continuous control of an ipm motor

Alecksey Anuchin, Dmitry Aliamkin, Maxim Lashkevich, Valentina Podzorova, Lassi Aarniovuori, Ralph Kennel

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

5 Scopus citations

Abstract

This paper presents an approach to continuous control set model predictive control, which uses reduced integration step size. The reduced integration step size allows to obtain a stream of finite control set, which can be filtered in order to obtain continuous control set. The Sinc-filter can be used to obtain improved accuracy of the voltage references. This approach is suitable for the motors with the high nonlinearity of the magnetization curve, which can be taken into account. The simulation results are presented in case of interior permanent magnet motor.

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

Keywords

  • Delta-sigma modulation
  • Integration step
  • Interior permanent magnet machine
  • Model predictive control
  • Sinc-filter

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