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Fast Experimental Magnetic Model Identification for Synchronous Reluctance Motor Drives

Author

Listed:
  • Vasyl Varvolik

    (Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, The University of Nottingham Ningbo China, Ningbo 315100, China)

  • Shuo Wang

    (Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, The University of Nottingham Ningbo China, Ningbo 315100, China)

  • Dmytro Prystupa

    (Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, The University of Nottingham Ningbo China, Ningbo 315100, China)

  • Giampaolo Buticchi

    (Key Laboratory of More Electric Aircraft Technology of Zhejiang Province, The University of Nottingham Ningbo China, Ningbo 315100, China)

  • Sergei Peresada

    (Department of Electrical Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 03056 Kyiv, Ukraine)

  • Michael Galea

    (Department of Industrial Electrical Power Conversion, University of Malta, MSD 2080 Msida, Malta)

  • Serhiy Bozhko

    (PEMC Group, University of Nottingham, Nottingham NG7 2RD, UK)

Abstract

The accurate magnetic model is mandatory for high-performance control of high anisotropy synchronous machines. This paper presents a time-efficient and accurate magnetic model identification based on triangle current injection while the machine under the test is driven at a constant speed by a prime mover. The current injection pattern allows scanning the whole range of current, reducing the identification time compared to the standard constant-speed method (CSM) with the same level of accuracy. The ohmic voltage drop and inverter nonlinearities are compensated by using the average voltage of motor and generator modes. The synchronous reluctance machine is used as a case study for validation through the comparison between the experimental results obtained by the proposed method and the CSM against finite element simulation. Moreover, the temperature variation of the machine winding is measured showing no considerable changes during the identification test.

Suggested Citation

  • Vasyl Varvolik & Shuo Wang & Dmytro Prystupa & Giampaolo Buticchi & Sergei Peresada & Michael Galea & Serhiy Bozhko, 2022. "Fast Experimental Magnetic Model Identification for Synchronous Reluctance Motor Drives," Energies, MDPI, vol. 15(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2207-:d:773580
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    References listed on IDEAS

    as
    1. Klemen Drobnič & Lovrenc Gašparin & Rastko Fišer, 2019. "Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization," Energies, MDPI, vol. 12(5), pages 1-20, February.
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