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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Dazhi Wang, Bowen Niu, Pengyi Pan, Guofeng Sun
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-09-01
Sarja:Actuators
Aiheet:
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
Linkit:https://www.mdpi.com/2076-0825/12/10/367

Internet

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

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