Optimal design and torque analysis considering eddy-current reduction of axial-flux permanent magnet couplings with Halbach array based on 3D-FEM

Jang, Gang-Hyeon; Kim, Jeong-Man; Shin, Hong-Sik; Choi, Jang-Young

doi:10.1109/cefc.2016.7816179

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…Numerical modeling methods can accurately calculate various physical fields and performance parameters. However, obtaining more accurate results requires a large amount of computation, lengthy computation time, and high equipment requirements [7,8]. Therefore, this method is not suitable for use in the early stages of coupler design and optimization [9,10].…”

Section: Bp Neural Network Based On Scaled Conjugate Gradient Algorithmmentioning

confidence: 99%

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Multi-Objective Optimization Design of Permanent Magnet Eddy Current Coupler Based on SCG-BP Neural Network Modeling and the ONDX-NSGA-II Algorithm

Wang,

Niu,

Pan

et al. 2023

Actuators

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There is a complex coupling relationship between the structural parameters and various performance indicators of a permanent magnet eddy current coupler. In order to obtain the optimal combination of structural parameters that can improve the overall performance of the coupler, it is necessary to reasonably balance the contradiction and competition among performance indicators of the permanent magnet eddy current coupler. A multi-objective optimization method for permanent magnet eddy current couplers based on scaled conjugate gradient back propagation neural network modeling, improved opposition-based learning, and normal distribution crossover operator non-dominated sorting genetic algorithm-II is proposed. The optimization results are compared with those of the traditional non-dominated sorting genetic algorithm-II and the Pareto envelope-based selection algorithm-II, and it is verified that the proposed multi-objective optimization algorithm is accurate, reliable, and has better convergence and versatility. Compared with the original model, the output torque of the optimized coupler increased by 8.54%, and the eddy current loss and cost decreased by 3.71% and 8.74%, respectively. Finally, the correctness of the theoretical analysis was verified through 3D finite element simulation and an experimental simulation platform.

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Section: Bp Neural Network Based On Scaled Conjugate Gradient Algorithmmentioning

confidence: 99%

“…The objective functions of output torque and eddy current loss are fitted by the SCG-BP neural network, represented by T and P loss , respectively. And the volume expression of PMECC is shown in Equation (7).…”

Section: Establishment Of Objective Functionmentioning

confidence: 99%

Multi-Objective Optimization Design of Permanent Magnet Eddy Current Coupler Based on SCG-BP Neural Network Modeling and the ONDX-NSGA-II Algorithm

Wang,

Niu,

Pan

et al. 2023

Actuators

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“…In order to solve the problem of alignment, researchers have successfully explored a nonphysical contact transmission technology. It is magnetically coupled technology [3][4][5][6]. The the permanent magnet eddy current coupler (PMEC) usually consists of permanent magnets (PMs) rotor and conductor rotor, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…The the permanent magnet eddy current coupler (PMEC) usually consists of permanent magnets (PMs) rotor and conductor rotor, as shown in Figure 1. The PMs rotor includes PMs and back iron, and the conductor rotor includes copper and back iron [7,8]. The research of electromagnetic field is the core and foundation of the PMEC.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Modeling of Transmission Performance for Permanent Magnet Eddy Current Coupler

Yang

Liu

Wang

2019

Mathematical Problems in Engineering

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Establishing the analytical model for accurately predicting the transmitted torque of the permanent magnet eddy current coupler (PMEC) with double conductor rotors is very important to study the nonlinear transmission performance of the PMEC. In this paper, based on magnetic equivalent circuit (MEC) approaches, considering the effects of permanent magnet (PM) end leakage, side leakage, and back iron saturation, the 3D magnetic field model of the PMEC is established. Based on the magnetic field model, combined with Faraday’s law and Ampere’s law, the 3D nonlinear model of the PMEC is established. The proposed model adopts the Jenei method to describe the inductance limited eddy current field. The theoretical data, 3D finite element method (FEM) data, and experimental data are compared. The research shows that the predicted value of the analytical model matches well with the torque obtained by 3D FEM and experiments in the range of 0-100% slip, with an error less than 5.3% observed. Finally, the influence of structural parameters on the transmission performance of the PMEC is studied by using the proposed model.

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“…[10]. Meanwhile, for improving the performance of the PMEC, the PM designed with the Halbach array is proposed [11].…”

mentioning

confidence: 99%

Analysis and Design Optimization of Axial–Radial Flux Hybrid Excitation Permanent Magnet Eddy Current Coupling

Zhang

Liu

Zhang

et al. 2023

J. Electr. Eng. Technol.

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This paper proposes an axial-radial flux hybrid excitation permanent magnet eddy current coupling (HE-PMEC), where the ferrite magnet is employed for producing the radial flux and the DC excitation current is adopted for producing the axial flux. Moreover, a shielding layer is developed to regulate the radial magnetic field. Its magnetic field distribution, electromagnetic performance, and temperature distribution are calculated based on the 3D finite element method (FEM). By adjusting the applied DC excitation current density and the insertion depth of the shielding layer, the variable current starting process, the variable current braking process, and the speed regulation characteristic of the proposed HE-PMEC are obtained. It can be seen that the starting process, braking process, and speed regulation ability of the HE-PMEC have been enhanced greatly. Furthermore, the copper ring shape of the HE-PMEC is optimized by using the proposed improved multilevel optimization method. It can be seen that the performance of the HE-PMEC can be improved by using the new optimized copper ring shape. Lastly, compared with the conventional PMECs, the proposed HE-PMEC has shown its superior electromagnetic performance.

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Optimal design and torque analysis considering eddy-current reduction of axial-flux permanent magnet couplings with Halbach array based on 3D-FEM

Cited by 5 publications

References 2 publications

Multi-Objective Optimization Design of Permanent Magnet Eddy Current Coupler Based on SCG-BP Neural Network Modeling and the ONDX-NSGA-II Algorithm

Multi-Objective Optimization Design of Permanent Magnet Eddy Current Coupler Based on SCG-BP Neural Network Modeling and the ONDX-NSGA-II Algorithm

Nonlinear Modeling of Transmission Performance for Permanent Magnet Eddy Current Coupler

Analysis and Design Optimization of Axial–Radial Flux Hybrid Excitation Permanent Magnet Eddy Current Coupling

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