Operation Control Method for High-Speed Maglev Based on Fractional-Order Sliding Mode Adaptive and Diagonal Recurrent Neural Network

Operation Control Method for High-Speed Maglev Based on Fractional-Order Sliding Mode Adaptive and Diagonal Recurrent Neural Network

The speed profile tracking calculation of high-speed maglev trains is mainly affected by running resistance. In order to reduce the adverse effects and improve tracking accuracy, this paper presents a maglev train operation control method based on a fractional-order sliding mode adaptive and diagona...

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Bibliographic Details
Main Authors: Wenbai Zhang, Guobin Lin, Keting Hu, Zhiming Liao, Huan Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Energies
Subjects:
high-speed maglev
speed tracking
running resistance
fractional order
diagonal recurrent neural networks
Online Access:https://www.mdpi.com/1996-1073/16/12/4566

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https://www.mdpi.com/1996-1073/16/12/4566

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