Neural Network Trajectory Tracking Control on Electromagnetic Suspension Systems

Neural Network Trajectory Tracking Control on Electromagnetic Suspension Systems

A new adaptive-like neural control strategy for motion reference trajectory tracking for a nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural networks, differential flatness and sliding modes are strategically integrated in the presented adaptive neural network cont...

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Bibliographic Details
Main Authors: Francisco Beltran-Carbajal, Hugo Yañez-Badillo, Ruben Tapia-Olvera, Julio C. Rosas-Caro, Carlos Sotelo, David Sotelo
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Mathematics
Subjects:
electromagnetic levitation
differential flatness
reference trajectory tracking
artificial neural networks
sliding modes
Online Access:https://www.mdpi.com/2227-7390/11/10/2272

Internet

https://www.mdpi.com/2227-7390/11/10/2272

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