Rotor Position Estimation Strategy Using Artificial Neural Network for a Novel Design Transverse Flux Machine

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Atıf İçin Kopyala

Turker C. G., Kuyumcu F. E.

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, cilt.10, sa.5, ss.2009-2017, 2015 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 10 Sayı: 5
• Basım Tarihi: 2015
• Doi Numarası: 10.5370/jeet.2015.10.5.2009
• Dergi Adı: JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.2009-2017
• Kocaeli Üniversitesi Adresli: Evet

Özet

The E-Core Transverse Flux Machine is a different design of transverse flux machines combined with reluctance principle. Determination of the rotor position is important for the movement of the ETFM by switching the phase currents in synchronism with the inductance regions of the stator windings. It is the first time that rotor position estimation based on Artificial Neural Network (ANN) is purposed to eliminate the position sensor for the ETFM. Simulation and experimental tests are demonstrated for the feasibility of the proposed estimation algorithm for the exercise bike application of the ETFM.