Abstract
This study presents the model and control of the magnetic levitation system. The model considers the angular position of the ball, also a neural network approximates the electromagnetic parameter. The neural network controller is the combination of a nonlinear method and a neural network, also its stability is guaranteed by utilizing the Lyapunov method. The proposed controller is compared with the two stages controller for the trajectory tracking in the magnetic levitation system.
Original language | English |
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Pages (from-to) | 113-121 |
Number of pages | 9 |
Journal | Neurocomputing |
Volume | 227 |
DOIs | |
State | Published - 1 Mar 2017 |
Keywords
- Magneticlevitation system
- Neural network
- Neurocontrol
- Stability