Tracking control of magnetic levitation system using model-free RBF neural network design
W Yang, F Meng, S Meng, S Man, A Pang - IEEE Access, 2020 - ieeexplore.ieee.org
This paper focuses on the tracking control problem of Magnetic Levitation System (MLS).
MLS is highly unstable nonlinear system, in the process of operation, MLS needs to have …
MLS is highly unstable nonlinear system, in the process of operation, MLS needs to have …
Adaptive Super-Twisting Sliding Mode Control for Magnetic Levitation System
H Borkotoky, S Hareesh, SJ Mija - 2023 Second IEEE …, 2024 - ieeexplore.ieee.org
A novel adaptive super twisting control technique is proposed for the stabilization of the
magnetic levitation system. In the designed adaptive super twisting sliding mode control …
magnetic levitation system. In the designed adaptive super twisting sliding mode control …
Fractional-order sliding mode control with adaptive neural network for high-precision position control of reluctance actuators
Maglev systems using reluctance actuators (RAs) are increasingly being used in ultra-
precision motion platforms due to the non-contact feature of the guide rails. However …
precision motion platforms due to the non-contact feature of the guide rails. However …
[引用][C] Dynamic Response Analysis of Vehicle–Bridge Coupled Systems of Low-to-Medium-Speed Maglev Long-Span Bridges
L An, W Li, P Yuan, D Li, P Chen… - International Journal of …, 2024 - World Scientific
The vibration behavior of the maglev train–bridge system has consistently been a primary
concern in developing low-to-medium-speed maglev transportation. In this study, based on …
concern in developing low-to-medium-speed maglev transportation. In this study, based on …