Microcontroller-based intelligent control for reaction wheel pendulums using a fuzzy broad-learning system
學年 111
學期 1
發表日期 2022-11-03
作品名稱 Microcontroller-based intelligent control for reaction wheel pendulums using a fuzzy broad-learning system
作品名稱（其他語言）
著者 Bo-Rui Chen; Chun-Fei Hsu; Bing-Fei Wu
作品所屬單位
出版者
會議名稱 2022 International Conference on Fuzzy Theory and Its Applications
會議地點 Kaohsiung, Taiwan
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.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20221103~20221105
通訊作者
國別 TWN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124549 )

SDGS 優質教育,尊嚴就業與經濟發展,產業創新與基礎設施