Fast Experimental Magnetic Model Identification for Synchronous Reluctance Motor Drives

Vasyl Varvolik, Shuo Wang, Dmytro Prystupa, Giampaolo Buticchi, Sergei Peresada, Michael Galea and Serhiy Bozhko
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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

Energies, 2022, vol. 15, issue 6, 1-15

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.

Keywords: magnetic model identification; constant-speed method; flux maps; dead-time (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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