2010
DOI: 10.3233/jae-2010-1079
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Multiobjective design optimization and Pareto front analysis of a radial eddy current coupler

Abstract: The paper proposes a multiobjective optimization to design a radial eddy current coupler, where the torque is maximized while the momentum of inertia is minimized to improve the dynamic behavior of the device. An analytical solution of the electromagnetic problem is used to speed up the computation of objectives and an optimization algorithm based on the emulation of the immune system behavior, referred to as Vector Immune System, is adopted to find tradeoff solutions between objectives. The solutions found so… Show more

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Cited by 12 publications
(4 citation statements)
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“…In addition, Multi-objective optimization of RF-PMECC with single-sided PMR and double-sided CR was also carried out by genetic algorithm to optimize torque and moment of inertia [58]. Then, the Pareto optimal structure problem was deeply analyzed in an attempt to obtain the common properties of the optimal solution by A. Canova [59].…”
Section: Optimization Designmentioning
confidence: 99%
“…In addition, Multi-objective optimization of RF-PMECC with single-sided PMR and double-sided CR was also carried out by genetic algorithm to optimize torque and moment of inertia [58]. Then, the Pareto optimal structure problem was deeply analyzed in an attempt to obtain the common properties of the optimal solution by A. Canova [59].…”
Section: Optimization Designmentioning
confidence: 99%
“…Reference [155] presented a multi-objective optimal design of a radial PMECC with the objective of maximizing the torque and minimizing the inertial momentum in order to improve the dynamic characteristics of the device. is based on an analytical modeling approach, and, after establishing the multi-objective optimization problem, a multi-objective optimization method named vector immune system was used.…”
Section: Artificial Immune Systems (Ais)mentioning
confidence: 99%
“…Based on the ME, the control equations of each layer field domain were established under certain simplified conditions, and the expression of the torque was obtained by simplifying the method of variable separation. The torque expression was discretized, and combined with the boundary conditions of each layer field, the torque expression was solved [11]- [17] . However, the factors such as magnetic circuit saturation and magnetic leakage were difficult to be accurately reflected in the analytical model, which leaded to the low accuracy of the analytical model based on ME.…”
Section: Index Termsmentioning
confidence: 99%