無人飛行載具的最佳化設計

淡江大學UAV 實驗室每年都會參加無人飛機設計比賽，如何設計一架完美的無人飛機成為本論文研究的目標。吾人以MATLAB 開發出此套軟體，名為"UAV Designer"。軟體運作以機翼參考面積和巡航速度當作設計參數，此倆參數經由DATCOM 計算出對應下之空氣動力係數，並儲存為資料庫；由基因演算法則隨機從資料庫中挑選最佳氣動力外形配置與巡航速度，以此結果建立運動方程式加以分析，判定該載具的穩定性。吾人利用本軟體設計出串翼機ORION 與太陽能無人載具YueZhuo+。串翼機之機翼參考面積為 0.6m2、巡航速度為14m/ s；太陽能無人載具之機翼參考面積為3.28 2 m 、巡航速度為 8.6m/ s。上述之 ORION 已於今年 3 月參賽，並榮獲佳績。此軟體不僅可設計上述機種，現今的無人飛行載具設計皆可採用。

關鍵字

基因演算法；串翼機；無人飛行載具；最佳化設計

並列摘要

Tamkang University UAV lab will participate UAV Design Competition every year, how to design the perfect UAV became this paper research target. I used Matlab to develop this kind of software and named "UAV Designer". The software used wing reference area and cruising speed as design parameters to be operated, these two parameters through DATCOM calculated correspond aerodynamic coefficient and storage database;Genetic algorithm will randomly select aerodynamic configuration and cruising speed, and used the above result to construct equation of motion be analysed. I taked advantage of this software design ORION Tandem Wing and YueZhou Solar-powered Unmanned Aerial Vehicle. The ORION Tandem Wing’s wing reference is 0.6 m2,cruising speed is 14 m/s;YueZhou+’s wing reference 3.28 m2,cruising speed is 8.6 m/s. The ORION had participated contest and win awards on this year. The "UAV Designer" software could not only design the above airplane type but also all kinds of UAV.

並列關鍵字

genetic algorithms ； tandem wing ； aircraft ； unmanned aerial vehicles ； optimal design

參考文獻

[9]邱智偉,“太陽能飛機之最佳外型設計”私立淡江大學航空太空工程學系UAV實驗室,碩士論文,pp56-65,Jun.2005.

[10]許焙存,“搭載行動電話基地台之太陽能動力飛機最佳化設計”私立淡江大學航空太空工程學系UAV實驗室,碩士論文, pp41

[1]Phillips, W. F., Mechanics of Flight, 2nd ed., John Wiley & Sons, Inc., Hoboken, NJ, 2009.

[3]John D. Anderson, “Fundamentals of Aerodynamics”, McGrawHill. 5th Edition, 2011

[5]Rao ,Engineering Optimization; Theory and Practice, John Wiley& Sons, 2009.

被引用紀錄

王以昕（2017）。最小功率需求下電動無人載具設計〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2017.00553

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無人飛行載具的最佳化設計

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