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

  • Turker, Cigdem Gundogan ;
  • Kuyumcu, Feriha Erfan
  • Received : 2014.11.25
  • Accepted : 2015.04.21
  • Published : 2015.09.01

Abstract

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.

Keywords

Artificial neural network;Rotor position estimation;Transverse flux machine

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