Modeling and control with neural networks for a magnetic levitation system

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• 作者：José ; de Jes&uacute ; s Rubio^a ; ^{jrubioa@ipn.mx} ; ^{rubio.josedejesus@gmail.com}Author Vitae ; Lixian Zhang^b ; ^{lixianzhang@hit.edu.cn}Author Vitae ; Edwin Lughofer^c ; ^{edwin.lughofer@jku.at}Author Vitae ; Panuncio Cruz^aAuthor Vitae ; Ahmed Alsaedi^dAuthor Vitae ; Tasawar Hayat^eAuthor Vitae
• 关键词：Neural network ; Neurocontrol ; Stability ; Magneticlevitation system
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：227
• 期：Complete
• 页码：113-121
• 全文大小：1019 K
• 卷排序：227

文摘

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.