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

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 re...

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Bibliografiska uppgifter
Huvudupphovsmän:	Dazhi Wang, Bowen Niu, Pengyi Pan, Guofeng Sun
Materialtyp:	Artikel
Språk:	English
Publicerad:	MDPI AG 2023-09-01
Serie:	Actuators
Ämnen:	permanent magnet eddy current coupler multi-objective optimization scaled conjugate gradient back propagation neural network non-dominated sorting genetic algorithm-II opposition-based learning mechanism finite element analysis
Länkar:	https://www.mdpi.com/2076-0825/12/10/367

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