The Modelling of the E-Core Transverse Flux Machine Based on Neural Network

Turker C. G., Kuyumcu F. E.

INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, cilt.5, sa.4, ss.1477-1487, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 4
  • Basım Tarihi: 2010
  • Dergi Adı: INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1477-1487
  • Kocaeli Üniversitesi Adresli: Evet

Özet

The E-core Transverse flux Machine (ETFM) that has a different and a new structure, is combined of the principle of transverse flux machine and conventional Switched Reluctance Machine This paper is focused about the modelling and the imlementation of the ETFM for an application An accurate ETFM model needs a good knowledge of the magnetic characteristics of the machine to determine its electrical and mechanical behaviors This paper investigates the use of Artificial Neural Networks. (ANNs) for the modelling of the magnetic nonlinearity of the SRM The data for the training of the ANN is obtained experimentally methods To validate the accuracy of the NN model, the comparison between experimental results is also given The ETFM is applied for an exercise bike The control structure of the system is presented in this paper The complete modelling and the simulation of the whole system, considering the nonlinear characteristic of the drive, are implemented by Matlab/Simulink and verified the waveforms with the real system results under different conditions Copyright (C) 2010 Praise Worthy Prize S.r.l. - All rights reserved.