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    题名: 人形機器人於FIRA投籃競賽之手臂控制器設計
    其它题名: Arm controller design of humanoid robot for FIRA basketball competition
    作者: 曾義翔;Tseng, I-Hsiang
    贡献者: 淡江大學電機工程學系碩士班
    翁慶昌
    关键词: 人形機器人;基因演算法;模糊控制器;humanoid robot;Genetic Algorithm;fuzzy controller
    日期: 2012
    上传时间: 2013-04-13 11:59:49 (UTC+8)
    摘要: 本論文設計模糊控制器來控制小型人形機器人的手臂,讓視覺自主人形機器人可以完成「FIRA世界盃機器人足球賽:人形機器人組(HuroCup)」之籃球(Basketball)競賽項目,所提的方法可以加快與提高機器人投籃的完成速度與準確度。本論文主要有2個部分:(1)基因演算法(Genetic Algorithm)與(2)手臂控制器的設計與實現。在基因演算法方面,本論文使用基因演算法來模擬機器人投球動作,找尋影響投球距離重要的關係因素,確定以肩關節伺服機速度做為手臂控制器的控制輸出。在手臂控制器的設計與實現上,本論文設計一個兩輸入一輸出的模糊系統,兩個輸入分別為視覺系統所量測的距離以及伺服機驅動電壓,輸出為肩關節伺服機速度,此模糊系統會根據視覺系統所量測的距離以及目前伺服機驅動電壓輸入的大小決定出一個肩關節伺服機的速度。從實驗結果可知,所提的方法確實可以加快與提高機器人投籃的完成速度與投籃命中率。
    In this thesis, an arm controller of the humanoid robot based on the fuzzy controller is designed to speed up the motion and improve the shot accuracy for the basketball category in Humanoid Robot Cup (HuroCup) of FIRA World Cup Robot Soccer. There are two main parts: (1) Genetic Algorithm (GA) and (2) arm controller. The shot motion is simulated in GA to find the key joint, shoulder joint, which influences the shoot distance the most. The rotation speed of the shoulder joint is used as the controller output. In the design and implementation of the arm controller, a two-input-and-one-output fuzzy controller is implemented. The inputs of the fuzzy system are the distance between the robot and the basket obtained by the image system and the input voltage of the shoulder joint. The output of the fuzzy system is the rotation speed of the shoulder joint. The proposed fuzzy system determines the rotation speed based on the distance and the input voltage. From the experiment results, we can see that the effectiveness of the proposed design method.
    显示于类别:[電機工程學系暨研究所] 學位論文

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