| 研究生: |
翁錦堂 Weng, Chin-Tang |
|---|---|
| 論文名稱: |
從飛行紀錄資料進行降落時遭遇風切航機
之氣動力分析 Aerodynamic Analysis of a Jet Transport in Windshear Encounter during Landing Based on FDR Data |
| 指導教授: |
何慶雄
Ho, Ching-Shun 藍川滔 Lan, Chuan-Tau |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
工學院 - 航空太空工程學系 Department of Aeronautics & Astronautics |
| 論文出版年: | 2004 |
| 畢業學年度: | 92 |
| 語文別: | 英文 |
| 論文頁數: | 139 |
| 中文關鍵詞: | 飛行紀錄器 、模糊邏輯模式化 、風切危害 、擴展式卡爾曼率波 |
| 外文關鍵詞: | extended kalman filter, flight data recorder, windshear hazard, fuzzy logic modeling |
| 相關次數: | 點閱:85 下載:17 |
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本論文主要探討:風切對於起降過程中,低空飛行航機的氣動行為改變對於飛行安全影響之研究,本研究採用一架在強風大雨中降落的波音737-800型客機其飛行紀錄器(Flight Data Recorder, FDR)所紀錄的真實飛行參數來進行研究。飛行資料首先經過擴展式卡爾曼濾波(Extended Kalman Filter, EKF)來進行資料的一致性檢查(Compatibility Check)及估測未量測參數,並計算估測三維風場及飛行軌跡,此結果將有助於風切識別及危害程度的分析。然後將飛行資料以模糊邏輯模式化(Fuzzy Logic Modeling, FLM)理論來建立一個非線性、非穩態且受強風影響的空氣動力模型,做為研究氣動力行為的數值資料庫,藉由此氣動模型的建立可以進行模擬各種風洞實驗法中的震盪(Oscillatory)實驗或延滯作用(Hysteresis);另外也可取代飛行試驗,模擬計算在有強烈側風的影響下的動態氣動力行為,例如地面效應(Ground Effect) 的靜態或動態分析。
本論文結果顯示EKF可以有效的估測及改善飛行數據的誤差,且模糊邏輯模式化技術可以同時處理多變量參數之非線性行為,並提供合理的動態及非穩態的氣動模型,從模擬的震盪實驗中藉由空氣動力導數來分析非穩態及非線性的空氣動力行為,並證實遲滯效應現象會同時出現在縱軸運動和橫軸的運動中,且存在著不穩定的因子,此結果顯示側風將影響飛行過程的穩定性能及控制能力。另外從地面效應的分析中得知,當下降率增加時地面效應將會明顯增加,而側風在接近觸地時會導致升力的降低而減小地面效應,另外控制效能在這個時候也明顯减小,使得在強風中的控制變得更困難。本研究所使用的方法不只有助於了解飛行的性能,未來透過有效的整合,也可以有效的整合風洞數據或其他飛行試驗數據,進而完成一個完整的空氣動力數據資料庫。該資料庫可以提供危害評估、飛機設計或藉由補強飛行模擬器的動態氣動參數來加強飛行員的應變及訓練。
The effects of windshear on airplane flight safety during take off and landing are examined. The main focus is to study the aerodynamic characteristics based on flight data from Flight Data Recorders (FDR) to provide an insight in the clues that cause accidents or incidents. A fuzzy logic modeling (FLM) algorithm is adopted to establish the nonlinear dynamic aerodynamic models for a jet transport in a flight accident. Modeling is applied to a set of flight parameters from the compatibility analysis of FDR data through an Extended Kalman Filter (EKF) algorithm. The fuzzy-logic model provides a numerical aerodynamic database from which the aerodynamic coefficients under oscillatory conditions can be extracted to demonstrate the hysteresis effects. It is also used to provide data for the static and dynamic ground effects analyses, which are particularly difficult to perform when the aircraft is near the ground in the presence of varying crosswind.
In this study, a Boeing 737-800 landing under strong wind and heavy rain conditions is investigated. A fuzzy logic modeling technique is applied to model the nonlinearities associated with wind-affected aerodynamics. The results indicate that the fuzzy-logic modeling is capable of handling many motion variables at the same time in the nonlinear manner and providing reasonable unsteady aerodynamics. Unsteady and nonlinear aerodynamic phenomena are observed from the analysis of stiffness, damping, and control effectiveness derivatives. The hysteresis effects are demonstrated by the harmonic oscillation response loops to show the unsteady effects that appear in both longitudinal and lateral-directional motions. The results of ground effect analysis show that ground effect appears to be significant as the sink rate increases, and the crosswind tends to induce adverse dynamic ground effect (i.e. lift reduction) when the aircraft flaring to touch-down. The sideslip, as produced by crosswind, will make the pitching moment more negative. It also reduces the control effectiveness. The adopted approach not only has the potential to help understand the flying characteristics but also is more effective than the current windshear identification method in identifying the degree of windshear hazards and improving the flight simulator’s aerodynamic database for pilot’s trainings.
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