The E-core Transverse Flux Machine (ETFM) is combined of the principle of transverse flux machine and conventional Switched Reluctance Machine. The paper is focused about the modelling and the imlementation of the ETFM for an application. The magnetic characteristics of the machine determines its electrical and mechanical behaviors. To analyze and predict the ETFM's performance, good knowledge of its electromagnetic characteristics is essential. This paper investigates the use of Artificial Neural Networks (ANNs) for the modelling of the magnetic nonlinearity of the ETFM. The proposed ANN based determination of the magnetic characteristics is put into the ETFM model instead of the traditional look-up table.
-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.
The E-core transverse flux machine (ETFM) has major advantages with its different and unique structure in conventional electrical machines. It is a combination of transverse flux and reluctance principle. In this work, support vector regression machines (SVRMs) are used to obtain the magnetic characteristic parameters of the ETFM for the first time and it is compared with its artificial neural network model. The data for the training and testing of the SVRMs are obtained from experimental measurements. It is proven that SVRMs can conveniently be used in the modeling of the magnetic behaviors of highly nonlinear ETFM with better accuracy and efficiency.
ÖZETBu çalışmada, çapraz akı ve relüktans prensibini birleştiren farklı bir yapıya sahip E-Çekirdek Çapraz Akı Makinası ve egzersiz bisikleti uygulamasındaki çalışma şekli analiz edilmektedir. Öncelikle, sonlu elemanlar analizi ve deneysel yöntemlerle makinanın statik performans karakteristikleri elde edilmektedir. Ardından, EÇekirdek Çapraz Akı Makinası ve sürücü düzeneği modellenmekte ve uygulamanın kontrol algoritmalarını da içeren tüm sistem düzeneğinin simülasyonu ile makinanın dinamik performans dalga şekilleri verilmektedir. Son olarak ise, oluşturulan egzersiz bisikleti uygulamasının laboratuar ortamında oluşturulan deney düzeneği ile makinanın performans değerleri elde edilerek simülasyon sonuçları doğrulanmaktadır.Anahtar kelimeler: E-Çekirdek çapraz akı makinası, egzersiz bisikleti, simülasyon, modelleme
ANALYSIS OF THE E-CORE TRANSVERSE FLUX MACHINE FOR INDOOR TRAINING BIKE APPLICATION ABSTRACTIn this paper, the different working structure and unique design of the E-Core Transverse Flux Machine that is combined of transverse flux and reluctance principle is investigated for training bike application. Also, static magnetic characteristics of the machine are obtained with finite element analysis and experimental measurements. The modeling of the E-Core Transverse Flux Machine and its driver system are given. The whole system with all control algorithms for a training bike application is simulated and the performance curves are presented. Finally, the experimental tests done at the laboratory for the indoor training bike application are compared and verified with the results of the simulation.
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