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Modal Analysis of a 7.5 kW Synchronous Reluctance Motor

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Synchronous reluctance motors (SynRMs) are the main candidate to replace induction motors in industrial applications, especially where variable speed is required. The main drawbacks of SynRMs are noise, vibration, and torque ripple. Electromagnetic forces and the stator structure's natural frequencies are the primary causes of these noises and vibrations. Hence, it's crucial to determine the natural frequencies and mode shapes properly, as well as the electromagnetic forces present in SynRMs. Modal analysis is a method for identifying natural frequencies and mode shapes. In this paper, the modal analysis of 7.5 kW SynRM is conducted using both analytical and numerical methods. To provide validation, experimental tests are also carried out. Analysis and experimental results are compared and presented for the validation.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
YayınlayanTransilvania University of Brasov 1
ISBN (Elektronik)9798350311495
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023 - Istanbul, Turkey
Süre: 1 Eyl 20232 Eyl 2023

Yayın serisi

AdıProceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM
ISSN (Basılı)1842-0133

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???event.eventtypes.event.conference???2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot1/09/232/09/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

The authors gratefully thank to ASELSAN for their funding with Tohum Project with Grant No. P5225041. The authors also thank to AEMOT Electric Motors for their support.

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