Determining of the magnetic characteristics of the E-core Transverse Flux Machine based on neural network

Türker, Çiğdem Gündoğan; Kuyumcu, Feriha Erfan

doi:10.1109/inista.2011.5946068

Cited by 7 publications

(6 citation statements)

References 4 publications

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“…This design is suitable for linear TFMs such as the machines in [88], or rotating machines with circumferential arranged phases in [46], [181]- [187]. TFMs with a single winding per core element are presented in [132], [133], [142], [188], [189]. Further, the design of the machine in [190] has an E-core built out of an C-core with an additional bridge core.…”

Section: ) E-corementioning

confidence: 99%

“…There have been various attempts and approaches to describe TFMs with convenient analytical equations [8], [11], [149]. Due to the nonlinear characteristic, which result from the saturation of the soft magnetic material and the complex threedimensional flux, some authors consider this as challenging or even impossible [188], [253]. In [217], a complete electromagnetic design procedure is purposed with a separation in two parts: an analytical estimation and an optimization by 3D-FEA.…”

Section: A Analytical Preliminary Designmentioning

confidence: 99%

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Transverse Flux Machine—A Review

Kaiser

Parspour

2022

IEEE Access

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For applications with high torque demand, gearboxes are commonly used to convert torque and speed in order to receive higher specific values for torque and power. This causes additional losses, cost, inaccuracies, effort, and noise. Eliminating the need of a mechanical gear and the associated disadvantages, Transverse Flux Machines with their high torque density are a very promising alternative. Despite a high torque density and a good efficiency, these types of machines are not commonly used. Due to the complex structure, challenges with mechanical design, and modeling of the machine behavior arise. Additionally, there are high requirements for the inverter due to the low power factor. This paper provides an overview of the state of the art including the potentials and advantages but also the problems and hindrances of these types of machines. Relating to linear and rotary machines from research and industry, the machine is introduced with its history, application and classification. Further, the general technical aspects, the influence of materials for flux guidance, the methods of modeling, methods for a minimization of torque ripples, as well as methods for power factor improvement are presented.

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Section: ) E-corementioning

confidence: 99%

Section: A Analytical Preliminary Designmentioning

confidence: 99%

Transverse Flux Machine—A Review

Kaiser

Parspour

2022

IEEE Access

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“…However, the machine could only be multiphase in nature by stacking multiple single-phase machines. Modularity in TFMs with E-core stators was proposed in TFM [14,15]. The machines are reluctance machines and use ring windings.…”

Section: Imentioning

confidence: 99%

Design of a modular E-Core flux concentrating axial flux machine

Husain

Sözer

Husain

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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In this paper a novel E-Core axial flux machine is proposed. The machine has a double stator-single rotor configuration with flux concentrating ferrite magnets, and pole windings across each leg of an E-Core stator. E-Core stators with the proposed flux-concentrating rotor arrangement result in better magnet utilization and higher torque density. The machine also has a modular structure facilitating simpler construction. This paper presents a single phase and a threephase version of the E-Core machine. Case study for a 1.1 kW, 400 rpm machine for both the single phase and three-phase axial flux machine is presented. The results are verified through 3D finite element analysis.

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“…Flux linkage characteristics of the ETFM are highly nonlinear functions of the rotor position and current. So, it will be very difficult to set ETFM model due to its special structure [22].…”

Section: Determination Of the Training And Testing Datamentioning

confidence: 99%

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

Türker¹,

Kuyumcu²

2015

Journal of Electrical Engineering and Technology

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-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.

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Determining of the magnetic characteristics of the E-core Transverse Flux Machine based on neural network

Cited by 7 publications

References 4 publications

Transverse Flux Machine—A Review

Transverse Flux Machine—A Review

Design of a modular E-Core flux concentrating axial flux machine

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

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