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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111427

    Title: Flight data validation and simulation of remotely piloted vehicle
    Other Titles: 無人飛機飛行資料驗證與模擬
    Authors: 范凱博;Fan, Kai-Po
    Contributors: 淡江大學航空太空工程學系碩士班
    宛同;Wan, Tung
    Keywords: 希爾伯特-黃轉換;小波轉換;X-Plane;飛行資料分析;降落傘;數值模擬;Hilbert-Huang transform;Wavelet transforms;Flight Data Analysis;parachute;numerical simulations
    Date: 2016
    Issue Date: 2017-08-24 23:52:34 (UTC+8)
    Abstract: 本研究將無人飛機RPV上的飛行記錄器(Flight Data Recorder, FDR)取出之飛行數據,利用小波法(Wavelet Transform)及希爾伯特-黃轉換(Hilbert-Huang Transform, HHT)加以分析。考慮許多飛機的重要參數,如指示空速、高度、副翼角度、尾翼角度、俯仰角、滾轉角、航向角等,從原始訊號分解出不同頻率之訊號,觀察訊號變化,研判出訊號有研究價值的部分,再由X-Plane可視化飛行數據,觀察是否有異常的飛行姿態。
    本研究利用HHT 分析飛行數據,HHT能闡述非線性和非平穩時間序列,並產生好幾個富有物理意義的震盪模組(Intrinsic Mode Functions, IMF),與傳統方法相比,在隱藏物理現象的理解上,HHT具有更高頻譜的分辨率。其次有別於以往如傅立葉轉換(Fourier Transform , FT)、短時快速傅立葉轉換(Short-time Fourier Transform, STFT)等固定窗下的頻率解析,小波法(Wavelet Transform)套用母小波來分析一段訊號。而不同高低之頻率需用不同長短的窗函數來解析,本研究利用Morlet小波的母小波調整窗大小來達到解析高低頻率之間的缺點,使的解析度在頻域上將比傳統方法得到更突出的結果。將飛行數據的原始數據由HHT與小波法分析後的結果相互比較,再以X-Plane觀察無人機當時的飛行姿態,綜合三種方法對飛行數據的分析,得出更精準的結果,解讀出其中物理現象,以找出無人機發生意外的原因與關鍵訊息。
    最後以ANSYS Fluent分析美國軍方T-10降落傘的氣動力特性,計算不同重量、終端速度的無人機所需類似T-10降落傘的尺寸,再以ANSYS Fluent分析新降落傘的氣動力特性,來驗證此設計方法的可行性,希望藉由此降落傘設計系統,以降低無人機發生意外時所造成的傷害。
    In this research, the flight data of RPV are analyzed, which derived from Flight Data Recorder (FDR), by using Wavelet Transform and Hilbert-Huang Transform methods, and considering the tremendous amount of important aircraft parameters, such as indicated airspeed, altitude, ailerons angle, stabilators angle, pitch angle, roll angle and true heading angle, we decompose these flight data to different frequencies inside the signals, observe their changes, and obtain valuable and meaningful flight interpretations; then visualize flight data by simulation software: X-Plane 10 to observe whether has abnormal flight attitude.
    In this study, we analyze flight data by HHT, which is a modern tool for non-linear and non-stationary time series interpretation, providing physically meaningful Intrinsic Mode Functions (IMF) in order to have a deeper glance on signal. HHT also has a high-resolution spectrum compared to traditional methods for understanding background physical meaning. Moreover, traditional methods such as Fourier Transform (FT) and Short-time Fourier Transform (STFT) are utilizing fixed window to analyze frequencies in signal. Wavelet Transform applying a dilation window function to fit the length of the data, and it really work out on decomposing from high-frequency to low-frequency oscillation in signals. Therefore, Wavelet Transform obtains more prominent results in the frequency domain. Then we compare and analyze our consequences by HHT and Wavelet method, observe flight attitude by X-Plane. Comprehensive the explanations of two methods combined with the X-Plane visualizing flight data, we hope to precise diagnostic consequences in physical phenomena and find out the reasons for RPV accidents and their key messages.
    Finally, we examine T-10 parachute of the United States Armed Forces aerodynamic characteristics by ANSYS Fluent. Then design a parachute for our RPV, which is similar to the T-10 shape and examine new parachute aerodynamic characteristics by Fluent to verify the feasibility of this concept. We hope this new parachute devise will help to reduce the damage of RPV accidents.
    Appears in Collections:[Graduate Institute & Department of Aerospace Engineering] Thesis

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