Online control signal-based diagnosis of interturn short circuits of PMSM drive

• Autorzy: Krzysztofiak Mateusz , Zawilak Tomasz , Tarchała Grzegorz

Identyfikatory

DOI

10.24425/aee.2023.143692

• Języki publikacji: EN

Abstrakty

EN

Modern drives with Permanent Magnet Synchronous Motors (PMSMs) require both efficient control structure to ensure excellent dynamics and effective diagnostic algorithms to detect the motor faults that can occur. This paper shows the combination of both mentioned aspects – the direct-axis based signals of the Field Oriented Control (FOC) structure are proposed as diagnostic signals to allow diagnosing the interturn short-circuit failure that can appear inside stator windings. The amplitudes of second order harmonics are selected as the fault indicators. Different modelling methods are analysed and compared in detail in this paper: an analytical mathematical model, a Finite Element Method (FEM)- based model and next verified using a laboratory setup. The results obtained using all the mentioned models proved that the proposed fault indices are increasing significantly with the number of shorted turns and are independent on the load torque level.

Słowa kluczowe

EN

decoupling; diagnostic; Finitie Element Method; FEM; interturn short circuits; modelling; PMSM; Permanent Magnet Synchronous Motors

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2023
• Tom: Vol. 72, nr 1
• Strony: 103--124
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wz.

Twórcy

autor

Krzysztofiak Mateusz

• Wrocław University of Science and Technology Department of Electrical Machines, Drives and Measurements Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0002-6184-3808

autor

Zawilak Tomasz

• Wrocław University of Science and Technology Department of Electrical Machines, Drives and Measurements Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0002-0482-0335

autor

Tarchała Grzegorz

• Wrocław University of Science and Technology Department of Electrical Machines, Drives and Measurements Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0001-7457-9674

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).