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研究生: 李劻翰
Lee, Kwarn-Hun
論文名稱: 影像處理與模糊PID控制方法應用於兩輪自走車之攔截任務
Image Processing and Fuzzy PID Control Method Applied in Two-Wheel Robot Intercepting Mission
指導教授: 林穎裕
Lin, Yiing-Yuh
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2008
畢業學年度: 96
語文別: 中文
論文頁數: 81
中文關鍵詞: 模糊控制攔截任務
外文關鍵詞: Image processing, Fuzzy PID
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  • 本研究目的在設計與製造於ㄧ台能針對特定顏色之平面動態目標物,自動進行辨識及攔截之無線遙控兩輪自走車。本系統之硬體系統可分成兩部分,管控電腦與遙控自走車。前者主要包含影像處理與控制器用以產生即時控制命令。後者則具備數位/類比訊號轉換器、直流馬達、CCD攝影機極無線影像傳輸模組,以執行控制命令與蒐集現場影像資訊回傳電腦端。本研究選擇模糊PD控制方法應用於自走車的控制器設計。目標影像辨識過程透過色彩篩選與形狀重心運算,求得目標物在影像座標上的位置及速度。應用模糊理論並結合PID回授控制達成可自調控制參數的控制以適應系統模型不確定性。模糊PD控制器將目標影像的位置及速度當成模糊輸入,以求得執行攔截任務之控制命令。系統模擬與硬體測試結果顯示模糊PD控制器的攔截效果優於傳統的固定PD控制器。

    The objective of this research is to design and build a two-wheel robot vehicle controlled via video, which can recognize the moving target on horizontal surface with particular color, and intercept it automatically. Monitoring computer and robot vehicle are the two major parts of the system. The former is implemented with image processor and controller, which receive target image and generates control commands in real time. The latter, which consists of wireless command receiver, digital to analog signals converter, DC motors, CCD camera, and wireless image transfer unit, which executes the control commands and sends the far-set image to the former. Fuzzy PD control method is used in the controller design. Through color screening and shape centering technique, the image process procedure in the main computer is able to estimate the position and the speed of the target. Also, the fuzzy theorem coupled with PID control can adjust the PID gain by experience to overcome some uncertainty in the system model. The fuzzy PD controller takes the position and velocity as fuzzy input can get a control command to do the intercepting mission. Simulation of the system and hardware testing have been done and compared. The results indicate that the fuzzy PD controller can outperform the traditional PD controller.

    誌謝..........................................i 中文摘要 .....................................ii 英文摘要 .....................................iii 目錄..........................................iv 圖目錄........................................vi 表目錄........................................ix 第一章 緒論...................................1 1-1 研究動機與目的 ............................1 1-2 文獻回顧..................................1 1-3 論文架構...................................3 第二章 自走車系統架構..........................4 2-1 自走車系統功能簡介.........................4 2-2 自走車硬體架構 .............................5 2-3 主控電腦架構..............................15 2-4 結語......................................18 第三章 影像處理與目標鎖定.....................19 3-1 內容簡介..................................19 3-2 全彩數位影像..............................20 3-3 目標物影像分割 ............................23 3-4 中值濾波器................................28 3-5 侵蝕(erosion)膨脹(dilation)處理...........28 3-6 目標物影像形心座標計算....................29 3-7 結語......................................30 第四章 自走車動態分析與模糊控制器設計.........31 4-1 內容簡介..................................31 4-2 兩輪自走車系統平面運動模型................31 4-3 自走車模糊PD控制器設計....................35 4-4 自走車攔截實驗之模擬......................46 4-5 結語......................................56 第五章 自走車攔截實驗與模擬 ..................57 5-1 內容簡介.................................57 5-2 實驗演算流程.............................57 5-3 靜態目標物攔截 ...........................59 5-4 動態目標物攔截...........................66 5-5 實驗與模擬之討論.........................74 第六章 結論及未來展望........................76 6-1 結論.....................................76 6-2 未來展望.................................76 參考文獻.....................................77 附錄A 攔截實驗照片...........................80

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