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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96351


    Title: 模糊類神經控制在移動式起重機過負荷之應用
    Authors: 連家慶;楊智旭
    Contributors: 淡江大學機械與機電工程學系
    Keywords: 模糊類神經控制;控制器設計;起重機;過負載感測系統;Neuro-Fuzzy Control;Controller Design;Crane;Overload Sensing System
    Date: 2001-03
    Issue Date: 2014-03-07 11:20:58 (UTC+8)
    Abstract: 工業的發展快速,移動式起重機應用範圍也愈來愈廣泛,但隨著其使用的普及,常傳出移動式起重機所造成的意外災害,所以在操作移動式起重機需非常謹慎小心,過負荷預防裝置是為防止起重機承受之負荷超過額定荷重,發生起重機破壞或翻覆的情形,而預防的方法主要藉由各種感測裝置檢測各自由度物理量,再經由演算器進行計算,判斷及控制。本研究的重點就是利用模糊類神經控制法則,配合自行推導的過負荷傾覆力學模式來解決多自由度耦合問題,針對移動式起重機的過負荷預防裝置做一個最佳化的控制設計,並配合比例閥對起重機油量的調節,當作業發生危險時適當的選擇對三個操作變數(L:伸臂長度,θ:伸臂仰角角度,ψ:水平旋轉角度)作速度上的調整,避免過負荷意外發生。
    This research is to study and improve an over-load sensing system oftruck cranes by using Neuro-fuzzy control theorem and over-loaddynamic equation. This research will be focused on design and improvethe desired over-load sensing devices under the consideration ofsecurity. The most important work of this research will emphasize onthe of coupling problems between the boom length, raise angle androtation angle of the truck cranes in order to avoid dangeroussituation caused by over-load.
    Relation: 2001中華民國自動控制研討會論文集(下)=2001 Chinese Automatic Control Conference,頁662-667
    Appears in Collections:[機械與機電工程學系暨研究所] 會議論文

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