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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/102925

    Title: 應用粒子群演算法於太陽能動力無人飛機之最佳化設計
    Other Titles: Optimum Design of Unmanned Aerial Vehicle by Particle Swarm Optimization Algorithm
    Authors: 張永康
    Contributors: 淡江大學航空太空工程學系
    Keywords: 太陽能動力無人飛機;粒子群演算法;輕量化設計;Solar Powered UAV;Particle Swarm Optimization;Minimum Weight Design
    Date: 2012-08
    Issue Date: 2015-05-11 16:24:42 (UTC+8)
    Abstract: 本計劃目的為太陽能動力無人飛機之結構最佳化設計之研究。計畫內 容包括複合材料設計與分析、飛具結構學理論與有限元素法進行飛機結構 輕量化設計與結構模型之建立、結構靜態與動態分析。 為了要對太陽能動力無人飛機結構作輕量化設計,除了飛具結構採用 複合材料外,本計劃將採用複合材料理論、有限元素法和粒子群演算法等 觀念於太陽能動力無人飛機結構最佳化設計。粒子群演算法是藉由觀察鳥 類覓食行為而發展出來的演算法,是一種具有群體智慧的仿生演算法,而 其最大特色就是只需要少數的參數來做設定及收斂速度快,以及容易與其 他演算法來做結合等優點。在最佳化求解過程中可以增加其穩定性與加速 其收斂性。而且與最佳化方法結合後,在處理有限元素相關的設計問題中 有良好的效率,這對於在處理結構最佳化問題中複雜的求解過程是相當有 幫助的。在最佳化求解過程中可以增加其穩定性與加速其收斂性。 本計畫將完成太陽能無人飛機之初始設計、細部設計、有限元素模型 分析、飛具製作,相信可以對無人飛機的特性和行為更加了解。此整合性 的研究,不但可提供完整的設計與製作方法,同時對太陽能無人飛機的複 雜性有更深一層的了解。
    The purpose of this study is to develop a Solar Powered Unmanned Aerial Vehicle(UAV). The composite material mechanics, aircraft structure theory and finite element method will be applied in the UAV structural static and dynamic analysis. The minimum weight design of UAV will be carried out in this study also. In order to minimize the weight of the Solar Powered UAV structure, a method of Particle Swarm Optimization(PSO) will be adopted in this study. The procedures of PSO algorithm may increase the convergence of optimum design process. With the help of PSO, we can obtain the minimum weight design of Solar Powered UAV. The saving of computer time and cost can be significant. The preliminary design, detailed design, FEM analysis, aircraft structure fabrication of solar powered UAV will be discussed and demonstrated in this study. We hope the research of this integrated study can provide a useful method for the design and fabrication of solar power UAV structures.
    Appears in Collections:[航空太空工程學系暨研究所] 研究報告

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