Nonlinear control for MIMO magnetic levitation system using direct decentralized neural networks

Syuan Yi Chen*, Faa Jeng Lin

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

A direct modified Elman neural networks (MENNs)-based decentralized controller is proposed to control the magnets of a nonlinear and unstable multi-input multi-output (MIMO) levitation system for the tracking of reference trajectory. First, the operating principles of a magnetic levitation system with two moving magnets are introduced. Then, due to the exact dynamic model of the MIMO magnetic levitation system is not clear, two MENNs are combined to be a direct MENN-based decentralized controller to deal with the highly nonlinear and unstable MIMO magnetic levitation system. Moreover, the connective weights of the MENNs are trained online by back-propagation (BP) methodology. Based on the direct and decentralized concepts, the computational burden is reduced and the controller design is simplified. Furthermore, the experimental results show that the proposed control scheme can control the magnets to track periodic sinusoidal reference trajectory simultaneously in different operating conditions effectively.

原文英語
主出版物標題2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
頁面1763-1768
頁數6
DOIs
出版狀態已發佈 - 2009
對外發佈
事件2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, 新加坡
持續時間: 2009 七月 142009 七月 17

出版系列

名字IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

其他

其他2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
國家/地區新加坡
城市Singapore
期間2009/07/142009/07/17

ASJC Scopus subject areas

  • 控制與系統工程
  • 軟體
  • 電腦科學應用
  • 電氣與電子工程

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