English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62568/95224 (66%)
造訪人次 : 2533969      線上人數 : 175
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/124549

    題名: Microcontroller-based intelligent control for reaction wheel pendulums using a fuzzy broad-learning system
    作者: Chen, Bo-Rui;Hsu, Chun-Fei;Wu, Bing-Fei
    日期: 2022-12-26
    上傳時間: 2023-09-19 12:05:28 (UTC+8)
    出版者: IEEE
    摘要: This study presents an adaptive fuzzy broad-learning neural control (AFBNC) system applied to a reaction wheel pendulum without knowing its dynamic model. The AFBNC system uses a fuzzy broad-learning system (FBLS) to approximate an ideal controller online with keeping the reaction wheel pendulum balance. Moreover, the gradient descent method and chain rule are applied to online adjust all parameters of the FBLS with keeping the closed-loop control system stable. Finally, to implement the control algorithms and conduct experiments, a prototype of the reaction wheel pendulum is designed using a low-cost microcontroller. The experimental results demonstrate the effectiveness of the proposed AFBNC system using low-cost hardware.
    DOI: 10.1109/iFUZZY55320.2022.9985220
    顯示於類別:[電機工程學系暨研究所] 會議論文


    檔案 描述 大小格式瀏覽次數



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋