Genetic algorithm based approach of SRM current profiling for torque control and minimal copper losses

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Abstract

This paper presents a novel approach to current profiling for switched reluctance machines that eliminates torque ripple while inherently guaranteeing minimum copper losses, along with linear torque control. Minimization of copper losses increases machine efficiency, while eliminating torque ripple is the pre requisite for SRM use in applications such as traction vehicles. This paper presents theoretical optimal current profiles, initially without consideration of DC link voltage limitations. Utilizing a Genetic Algorithm in conjunction with current profiling limit envelopes, an optimized set of current profiles across the torque ripple free speed range of an exemplary 8/6 SRM is then created. The profiles characteristics are analyzed and compared with commonly used torque sharing function control to confirm the merits of the proposed method.
Original languageEnglish
Title of host publication2023 IEEE International Electric Machines & Drives Conference (IEMDC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages7
ISBN (Electronic)9798350398991
ISBN (Print)9798350399004
DOIs
Publication statusPublished - 6 Sept 2023
EventInternational Electric Machines and Drives Conference 2023 - San Francisco, United States
Duration: 15 May 202318 May 2023

Conference

ConferenceInternational Electric Machines and Drives Conference 2023
Abbreviated titleIEMDC 2023
Country/TerritoryUnited States
CitySan Francisco
Period15/05/2318/05/23

Keywords

  • current profiling
  • electric vehicles
  • genetic algorithm
  • switched reluctance machine

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