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研究生: 陳情引
Chen, Ching-Yin
論文名稱: 運載火箭入軌的最佳推力向量控制
Optimal Thrust Vector Control for Launch Vehicle Orbit Insertion
指導教授: 楊憲東
Yang, Ciann-Dong
學位類別: 碩士
Master
系所名稱: 工學院 - 太空系統工程研究所
Institute of Space Systems Engineering
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 102
中文關鍵詞: 軌跡最佳化 、推力向量控制 、Hermite-Simpson 直接配置法 、序列二次規劃 、農神五號運載火箭
外文關鍵詞: trajectory optimization, thrust vector control, direct collocation, sequential quadratic programming, Saturn V launch vehicle
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  • 本論文以搭載阿波羅 11 號任務的農神五號運載火箭(Saturn V,載具編號 AS-506)為研究對象,求解火箭從起飛到第三節引擎第一次燃燒結束、進入地球停泊軌道為止,燃料消耗最少的推力向量控制上升軌跡。升空過程以三自由度質點模型描述,依第一節分離、發射逃逸系統拋棄與第二節分離三個事件劃分為四個飛行階段,考慮大氣阻力並加入地球扁率於重力模型中進行模擬。
    最佳軌跡數值求解分為兩個步驟:先以 Hermite-Simpson 直接配置法,將連續的最佳控制問題離散化為非線性規劃問題,再用 MATLAB 最佳化工具箱的序列二次規劃法求解。為了提升求解效率,本論文推導目標函數的解析梯度,並分析限制函數雅可比矩陣的稀疏結構,配合行著色技術,使每次評估雅可比矩陣所需的函數呼叫次數固定為常數,不隨問題規模增加而增加。初始猜測值則按飛行階段分段建立:第一節由兩參數重力轉彎的邊界值問題產生,第二節與第三節改用線性正切律的邊界值問題,求解器即以此組猜測值開始疊代。
    求解出的最佳化軌跡,先與阿波羅 11 號飛行評估報告比對,以確認建立的模擬環境能重現真實飛行:在第一節外側發動機關機、第二節外側發動機關機與第三節第一次關機三個時間點,逐項檢視火箭到地心的距離、相對速度與飛行路徑角,數值量級皆與報告相符。接著,本論文比較推力向量偏轉上限 ±15°、±13° 與 ±12°(三節共用同一上限)三組設定下的解,觀察控制權限的影響;取 ±12° 為最小的一組,是因為上限再降低(±11.5°)時已求不出滿足收斂標準的解;更大的 ±20° 與 ±25° 僅列於表中以顯示趨勢。這三組解在大氣層內的機動幅度都遠大於實際飛行;三組解的入軌質量雖分別比實測值高出 0.8%、0.5% 與 0.2%,但這些節省量是在不考慮風與性能擾動的理想化條件下所得,只能視為模型內的理論值。若改採與實際飛行同屬小攻角的飛行方式——即將第一節偏轉限制在萬向節規格 ±5° 以內(對照 Apollo 11 實際測量值最大攻角 1.8°)——所得的最佳結果,和 Apollo 11 實際送入軌道的質量相比,低了約 1.1%;即使把第二、三節(近真空飛行段)的偏轉上限一路放寬到 20°,此差距仍無法補回——在本文的氣動模型下,第一節維持小攻角飛行本身就多消耗了 2,200 kg 的燃料。此約 1% 的差距,可能與質點模型本身的建模誤差有關,且 Apollo 11 實際採用的疊代導引,已相當接近最省推進劑的最佳解。最後,選取組中控制權限餘裕最大的 ±15° 解作為參考軌跡,在 Simulink 中建立含追蹤式抗飽和的比例—積分—微分控制器進行閉迴路追蹤。模擬結果顯示,加入風場擾動後,追蹤誤差雖然變大,但控制器仍能穩定跟隨參考軌跡並成功入軌,驗證這條軌跡在實作上確實可行。

    This thesis computes the fuel-optimal thrust-vector-control (TVC) ascent trajectory of the Apollo 11 Saturn V launch vehicle (AS-506), from liftoff to the end of the S-IVB first burn at insertion into an Earth parking orbit. The ascent is modeled as a three-dimensional point mass over a rotating oblate Earth and is divided into four phases by S-IC separation, launch-escape-system (LES) jettison, and S-II separation. Hermite-Simpson direct collocation transcribes the optimal control problem into a nonlinear program, which is solved by sequential quadratic programming (SQP) with analytic gradients, a sparse constraint Jacobian, and phase-by-phase initial guesses built from boundary value problems. The optimized trajectory is validated against the Apollo 11 flight evaluation report. Solutions under deflection limits of ±15°, ±13°, and ±12° deliver about 0.8%, 0.5%, and 0.2% more mass to orbit than the actual flight — theoretical savings obtained by maneuvering far more aggressively inside the atmosphere than the actual vehicle did. When the first stage is instead confined to the small-angle-of-attack regime of the actual mission, the optimum falls about 1.1% below the measured insertion mass, which supports the assessment that the iterative guidance flown on Apollo 11 was already close to fuel-optimal. The ±15° solution is tracked closed-loop in Simulink by a proportional–integral–derivative (PID) controller under the measured AS-506 wind profile, confirming that the trajectory is practical to implement.

    摘要 II Abstract IV 誌謝 VIII 目錄 IX 表目錄 XII 圖目錄 XIII 縮寫列表 XV 第1章 緒論 1 1.1 背景與文獻回顧 1 1.2 研究動機 4 1.3 研究目的 4 1.4 論文架構 5 第2章 座標系統與火箭動力學模型 8 2.1 座標系統 8 2.1.1 慣性座標系 8 2.1.2 行星固定座標系 9 2.1.3 當地水平座標系 11 2.1.4 風軸座標系 12 2.2 座標轉換 13 2.2.1 慣性座標與行星固定座標轉換 13 2.2.2 行星固定座標與當地水平座標轉換 15 2.2.3 當地水平座標與風軸座標轉換 16 2.3 火箭模型 17 2.3.1 Saturn V 參數 18 2.3.2 推力向量控制 19 2.3.3 多階段飛行模型 21 2.4 環境模型 23 2.4.1 重力模型 23 2.4.2 氣動力模型 25 2.5 動力學方程式 28 第3章 最佳化問題 30 3.1 最佳化變數 30 3.2 目標函數 30 3.3 Hermite-Simpson 配置法 31 3.3.1 配置法原理 31 3.3.2 配置誤差限制 33 3.4 限制條件 33 3.4.1 初始條件 33 3.4.2 動力學一致性 34 3.4.3 多節分離 34 3.4.4 終端條件 35 3.4.5 變數範圍 35 3.4.6 TVC 偏轉角擺動速率 36 第4章 數值求解 38 4.1 初始猜測 38 4.1.1 第一節推進段:兩參數重力轉彎邊界值問題 40 4.1.2 第二、三節推進段:以線性正切律求解邊界值問題 41 4.1.3 初始猜測的節間連接 43 4.2 Jacobian 的解析計算 43 4.2.1 fmincon 求解流程 43 4.2.2 目標函數的解析梯度 44 4.2.3 限制函數的 Jacobian 稀疏結構 44 4.2.4 行著色與 Jacobian 矩陣計算成本 46 4.3 fmincon 求解器設定 47 第5章 最佳化結果的比較與閉迴路追蹤 49 5.1 最佳化結果驗證與燃料節省分析 50 5.1.1 飛行軌跡 50 5.1.2 終端狀態 55 5.2 P 控制器追蹤驗證 63 5.2.1 控制器設計 63 5.2.2 P 控制器的追蹤結果 64 5.3 加入風場與 PID 控制器 71 5.3.1 PID 控制器設計 71 5.3.2 風場模型 72 5.3.3 追蹤結果 74 第6章 結論與未來展望 78 6.1 研究總結 78 6.2 主要貢獻 78 6.3 研究限制 79 6.4 未來展望 81 6.4.1 質點模型與剛體模型的銜接 81 6.4.2 即時閉迴路導引律設計 81 6.4.3 其他延伸方向 81 參考文獻 83

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