2020
DOI: 10.1049/iet-epa.2019.0746
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Design optimisation of an axial‐flux reluctance magnetic coupling based on a two‐dimensional semi‐analytical model

Abstract: In this paper, design optimization of an axial flux reluctance magnetic coupling is presented. The optimal design procedure is based on a 2-D semi-analytical model defined at the mean radius combined with a multi-objective genetic algorithm (NSGA-II). In order to take into account the end-effects in the radial direction, a correction factor is defined to improve the torque and the axial force determination. The obtained results are compared with those of 3-D nonlinear finite element simulations and experimenta… Show more

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Cited by 6 publications
(18 citation statements)
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References 23 publications
(77 reference statements)
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“…Indeed, an important assumption was that the iron of the SP had an infinite magnetic permeability which allowed to model the SP as a simple boundary condition. Consequently, the model was able to predict the optimal SP opening for a 3 mm air-gap but not for a 1 mm air-gap [11]. These results have shown the necessity of accounting the iron saturation in the analytical modelling of reluctance actuators.…”
Section: Introductionmentioning
confidence: 96%
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“…Indeed, an important assumption was that the iron of the SP had an infinite magnetic permeability which allowed to model the SP as a simple boundary condition. Consequently, the model was able to predict the optimal SP opening for a 3 mm air-gap but not for a 1 mm air-gap [11]. These results have shown the necessity of accounting the iron saturation in the analytical modelling of reluctance actuators.…”
Section: Introductionmentioning
confidence: 96%
“…In previous works, 3-D analytical models for axial-flux magnetic couplings have been proposed for both PM couplings [8] and asynchronous couplings [9], [10]. More recently, a 2-D semi-analytical model of a reluctance coupling has been developed from a simplified geometry by neglecting the curvature and considering the end Non-linear 3-D semi-analytical model for an axial-flux reluctance magnetic coupling Rémi Dorget and Thierry Lubin M effects in the torque and axial force calculation by using a correction factor [11]. The proposed model proved to be accurate for wide air-gaps at a very small computational cost.…”
Section: Introductionmentioning
confidence: 99%
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“…Among these, intelligent algorithms such as the genetic algorithm (GA), particle swarm algorithm, and simulated annealing algorithm have been widely used in the design of gradient coils [17], shim coils [18], and self-shielded coils [19]. In addition, the multiobjective optimization design of induction machines [20], transformers [21], permanent magnet generators [22,23], and reluctance magnetic coupling [24] based on the non-dominated sorting GA ( non-dominated sorting genetic algorithm (NSGA-II)) [25] have been reported. Generally, the multiobjective problem presents a set of solutions called the Pareto frontier, which includes the optimal solutions of the best compromise satisfying all objectives.…”
Section: Introductionmentioning
confidence: 99%
“…The structure of ECB is simple and reliable. The ECB has high performance, good durability, easy maintenance, long working life, and other advantages [1][2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%