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  • 學位論文

基於逆向運動學之機械手臂控制

Based on Inverse Kinematics for robot arm control

指導教授 : 王文俊
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摘要


本論文研究目的是為了實現多關節機械手臂的控制設計。本機械手的系統硬體架構包含一隻多關節機械手和兩顆CCD。該機械手包含四顆伺服馬達和一隻由兩顆伺服馬達所組成的機械手掌。雙CCD裝置在機器人的頭部上。機械手的控制目的為以雙CCD觀測目標,利用電腦去計算目標在三維空間的位置,然後控制機械手各個關節旋轉角度,以正確到達目標並完成抓取任務。控制流程上,以逆向運動學的概念建立機械手的運動控制,而機械手的實際位置則可由雙CCD裝置觀測而得。當機械手臂抵達目標物附近,加入模糊控制器來調整手掌位置並縮小其與目標物之間的位置誤差,直到兩者之間的誤差能滿足精確抓取目標物的需求為止。除此之外,加入手掌力回饋抓取機制和手掌平行桌面機制來偵測手掌是否確實抓取目標物並且避免機械手撞到桌面。最後,機械手能夠完成以下三大目標。目標一,抓取雞蛋並放入碗中;目標二,抓取裝水的瓶子並準確將水倒入馬克杯中;目標三,精確按壓電梯面板上不同位置的按鈕。最終本研究以多次的實際實驗來驗證本論文所提出的多關節機械手臂控制設計的有效性。

並列摘要


This thesis studies and implements the control designs for a multi-joint robot arm. The robot arm system hardware contains a multi-joint robot arm with a gripper and two CCDs. The robot arm contains four servo motors and the palm is composed of two motors as a gripper. Two CCD are set on the head of the robot. The control process of the robot arm is using two CCD to detect the target and using PC to calculate the target’s position in 3D space. Then the robot arm is control to reach and capture the target. In the process, the inverse kinematics (IK) concept is utilized to manipulate the robot arm, in which the practical gripper position can be messured by two CCD. When the robot arm reaches around of the target, fuzzy control is proposed to adjust the gripper position and shorten the position error such that the position error can meet the needs of capturing the target precisely. Furthermore, in order to detect whether the gripper captures the target and avoid the robot arm hitting the table, the force-sensory-feedback object grasping control, and the obstacle avoided are added. After all, the robot arm can achieve the following three objectives. The first is to hold an egg and put it onto a bowl; the second is to grasp a bottle filled with water and pour the water into a cup, and the last one is to press the exact number of elevator buttons. Several practical experimental results will demonstrate the effectiveness of the proposed control design.

參考文獻


[1] 徐啟勝(王文俊教授指導),“基於雙眼視覺之物件位置偵測及計算”,國立中央大學電機工程研究所碩士論文,2011年6月。
[4] 詹翔閔(翁慶昌教授指導),“人型機器人機構設計與應用”, 淡江大學電機工程研究所碩士論文,2008年6月。
[5] C. W. Kennedy and J. P. Desai, “Modeling and control of the Mitsubishi PA-10 robot arm harmonic drive system,” IEEE/ASME Transactions on Mechatronics, vol. 10, pp. 263–274, June 2005.
[6] C. H. Kuo, Y. W. Lai, K. W. Chiu and S. T. Lee, “Motion planning and control of interactive humanoid robotic arms,” in Proceedings of IEEE International Conference on Advanced Robotics and its Social Impacts, Taipei, August 2008, pp. 1-6.
[8] J. H. Park and Y. J. Lee, “Robust visual servoing for motion control of the ball on a plate,” Mechatronics, vol. 13, pp. 723–738, September 2003.

被引用紀錄


陳奕郕(2015)。SCARA機器臂之設計與實現〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2015.00677
黃俊傑(2015)。六軸機械手臂數控鑽削程式開發之研究〔碩士論文,國立虎尾科技大學〕。華藝線上圖書館。https://doi.org/10.6827/NFU.2015.00077
徐啟勝(2011)。基於雙眼視覺之物件位置偵測及計算〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314413484
許哲瑋(2012)。結合機械手臂之多功能輪型機器人〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314443750

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