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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105765

    Title: 電動輔助自行車之智慧型控制系統模擬與分析
    Other Titles: Simulation and analysis of the intelligent control system for an electric assisted bicycle
    Authors: 黃冠偉;Huang, Guan-Wei
    Contributors: 淡江大學機械與機電工程學系碩士班
    楊智旭;Yang, Jr-Syu
    Keywords: 電動輔助自行車;模糊理論;灰色理論;類神經網路;Electric assisted bicycle;Fuzzy Theory;grey theory;Neural Network
    Date: 2015
    Issue Date: 2016-01-22 15:04:42 (UTC+8)
    Abstract: 本論文設計一套電動輔助自行車的智慧型控制器,進行騎乘情況的模擬與分析,以提升其騎乘效率。灰模糊控制系統是以灰色理論結合模糊理論為設計基礎,用灰色理論中的灰色決策概念,以行車速度、曲柄轉速及踩踏扭力來判別騎乘狀態(如平路、上坡和下坡),之後再由模糊控制運算,有效控制輪轂馬達輸出,減少電池電能的浪費,達到節能效果,提升續航里程。
    The thesis is to design the intelligent control system for the electric assisted bicycle to increase the riding efficiency by simulation and analysis. The control system is developed by using the grey theory and fuzzy theory together. The riding mode is set up by the riding speed, spin speed and torque signals base on the developed grey decision-making program. Then, the fuzzy controller will send out the optimal voltage output to the motor in order to save more electric energy and increase the total cycling mileage.
    In the research, the control program is designed by using the Matlab. There are several different simulating examples which are decided by the pre-experiments of both bicycle training platform and actual road test. Then, the simulated results are compared with the experimental results. The comparing results show that this developed intelligent controller work very well. Finally, the simulated results can be apply to estimate the total cycling time and the total cycling mileage. It is the advantage for the future application to avoid lots of actual road test. By the way, the Artificial Neural Network(ANN) theory is applied in this grey-fuzzy controller together to compensate the output voltage for the riders with different weight in order to save more electric energy and prevent any dangerous situation.
    Appears in Collections:[機械與機電工程學系暨研究所] 學位論文

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