Modeling and control with neural networks for a magnetic levitation system

2017 ◽  
Vol 227 ◽  
pp. 113-121 ◽  
Author(s):  
José de Jesús Rubio ◽  
Lixian Zhang ◽  
Edwin Lughofer ◽  
Panuncio Cruz ◽  
Ahmed Alsaedi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Magnetic Levitation ◽  
Modeling And Control ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
And Control

scholarly journals MODELING AND CONTROL OF A MAGNETIC LEVITATION SYSTEM USING AN ANALOG CONTROLLER

2019 ◽  
pp. 41-44
Author(s):  
Syed Mamun R Rasid ◽  
Md. Belayet Hossain ◽  
Md. Emdadul Hoque ◽  
Md. Ariful Azam Arif ◽  
Md. Sarikat Ali Sarder
Keyword(s):  
Magnetic Levitation ◽  
Modeling And Control ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
And Control

scholarly journals Experiments with Neural Networks in the Identification and Control of a Magnetic Levitation System Using a Low-Cost Platform

2021 ◽  
Vol 11 (6) ◽  
pp. 2535
Author(s):  
Bruno E. Silva ◽  
Ramiro S. Barbosa
Keyword(s):  
Neural Networks ◽  
Neural Control ◽  
Magnetic Levitation ◽  
Low Cost ◽  
Training Data ◽  
Neural Controllers ◽  
Levitation System ◽  
Internal Model Controller ◽  
Magnetic Levitation System ◽  
And Performance

In this article, we designed and implemented neural controllers to control a nonlinear and unstable magnetic levitation system composed of an electromagnet and a magnetic disk. The objective was to evaluate the implementation and performance of neural control algorithms in a low-cost hardware. In a first phase, we designed two classical controllers with the objective to provide the training data for the neural controllers. After, we identified several neural models of the levitation system using Nonlinear AutoRegressive eXogenous (NARX)-type neural networks that were used to emulate the forward dynamics of the system. Finally, we designed and implemented three neural control structures: the inverse controller, the internal model controller, and the model reference controller for the control of the levitation system. The neural controllers were tested on a low-cost Arduino control platform through MATLAB/Simulink. The experimental results proved the good performance of the neural controllers.

scholarly journals Semi-Active Magnetic Levitation System for Education

2021 ◽  
Vol 11 (12) ◽  
pp. 5330
Author(s):  
Gisela Pujol-Vázquez ◽  
Alessandro N. Vargas ◽  
Saleh Mobayen ◽  
Leonardo Acho
Keyword(s):  
Pid Control ◽  
Magnetic Levitation ◽  
Low Cost ◽  
Control Scheme ◽  
Hands On ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
And Control ◽  
Active Control Strategy ◽  
Cost Components

This paper describes how to construct a low-cost magnetic levitation system (MagLev). The MagLev has been intensively used in engineering education, allowing instructors and students to learn through hands-on experiences of essential concepts, such as electronics, electromagnetism, and control systems. Built from scratch, the MagLev depends only on simple, low-cost components readily available on the market. In addition to showing how to construct the MagLev, this paper presents a semi-active control strategy that seems novel when applied to the MagLev. Experiments performed in the laboratory provide comparisons of the proposed control scheme with the classical PID control. The corresponding real-time experiments illustrate both the effectiveness of the approach and the potential of the MagLev for education.

Design and control of the miniature maglev using electromagnets and permanent magnets in magnetic levitation system

ICCAS 2010 ◽  
2010 ◽  
Author(s):  
Jeong-Min Jo ◽  
Young-Jae Han ◽  
Chang-Young Lee ◽  
Bu-Byung Kang ◽  
Kyung-Min Kim ◽  
...  
Keyword(s):  
Permanent Magnets ◽  
Magnetic Levitation ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
And Control
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