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研究生: 吳祈勳
Wu, Chi-Hsun
論文名稱: 四旋翼無人機之模糊PID控制器設計與實現
Design and Implementation of Fuzzy PID Controllers for Quadcopters
指導教授: 呂藝光
Leu, Yih-Guang
口試委員: 吳政郎 張原彰 杜國洋 陶金旺 呂藝光
口試日期: 2021/07/30
學位類別: 碩士
Master
系所名稱: 電機工程學系
Department of Electrical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 79
中文關鍵詞: 四軸飛行器串級模糊PID控制器姿態控制高度控制
英文關鍵詞: Quadcopter, cascade fuzzy PID controller, attitude control, altitude control
研究方法: 實驗設計法
DOI URL: http://doi.org/10.6345/NTNU202101243
論文種類: 學術論文
相關次數: 點閱:85下載:0
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  • 本論文設計了一套四旋翼飛行器系統,利用串級模糊 PID (Proportional–Integral–Derivative)控制器,來完成俯仰角(Pitch)、翻滾角(Roll)、偏航角(Yaw)與高度(altitude)的定位控制。並在文中探討各項因素對飛行器整體所造成的影響。一般商業四旋翼飛行器所採用的控制器常使用串級PID控制器,其優點就是面對飛行器這種複雜的非線性系統,不需要透過建立精確數學模型,依然能有效控制。但定值的PID參數在面對各種突發情況下,並非是當下最合適的值。為了能在不同的情況下,提供適當PID增益參數,因此導入模糊理論至PID控制器,形成串級式模糊 PID控制器。
    透過不同控制器間的相互比較來證實此方法的可行性,並會對各增益參數與模糊規則進行探討。最後,透過許多實驗設計,來測試本論文所提四旋翼飛行器的性能。

    In this study, a set of quadcopter system is designed. The cascade fuzzy PID controller is used to control the attitude and altitude of the quadcopter. Moreover, various factors that will influence the quadcopter are discussed. The cascade PID controller is adopted to control the quadcopter in most commercial cases. The advantage of the cascade PID controller is that it can work well under a complex nonlinear system without establishing an accurate mathematical model. However, the fixed PID parameter values may not be the most suitable ones in various situations. By introducing the fuzzy theory to the original cascade PID controller, the fuzzy cascade PID controller can change the gain parameters under different cases.
    The feasibility of the fuzzy cascade PID controller is verified through the comparison of experiments with different controllers. Furthermore, the performance of the proposed quadcopter is evaluated by experimental design.

    謝  辭 i 中文摘要 ii 英文摘要 iii 表 目 錄 vi 圖 目 錄 viii 第 一 章 緒論 1 1.1 研究動機與背景 1 1.2 研究目的 3 1.3 研究方法 3 1.4 論文架構 4 第 二 章 文獻探討與回顧 5 2.1 多旋翼無人機 5 2.2 姿態控制 6 2.3 動力模型 7 第 三 章 四軸飛行器之平台設計 8 3.1 機體架構 8 3.2 系統電源 11 3.3 系統架構 12 3.4 控制板介紹 13 3.5 模組介紹 14 3.6 動力系統 17 第 四 章 控制系統 22 4.1 飛行運動 22 4.2 控制器設計 25 4.3 模糊理論 30 4.4 串級模糊PID 34 第 五 章 實驗結果與討論 35 5.1 實驗介紹 35 5.2 串級PID參數調整 41 5.3 導入模糊邏輯系統 51 5.4 各項控制器結果比較 64 5.5 高度控制 65 第 六 章 結論與未來展望 75 6.1 結論 75 6.2 未來展望 75 參 考 文 獻 76 自 傳 78 學 術 成 就 79

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