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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https://www.mdpi.com/2076-0825/12/10/367

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