On the Accuracy of Flux Linkage Identification for Synchronous Reluctance Motor Drives

Vasyl Varvolik, Shuo Wang, Dmytro Prystupa, Yuli Bao, Giampaolo Buticchi

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

Abstract

The accurate knowledge of the synchronous reluctance machine (SyR) model is essential for advanced control implementation and high-fidelity simulation. The accuracy of experimental constant-speed identification methods is mainly influenced by inverter nonlinearities; however, factors such as the digital control effect, the current harmonics effect of the machine under the test, and the speed harmonics effect of the prime mover should be considered. Therefore, this paper investigates the influence of the aforementioned effects on the accuracy of model identification for SyR motor drives.
Original languageEnglish
Title of host publicationISIE 2024 - 33rd International Symposium on Industrial Electronics
Number of pages5
Publication statusPublished - 2024

Fields of science

  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202009 Electrical drive engineering
  • 202011 Electrical machines
  • 202025 Power electronics
  • 202027 Mechatronics

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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