本研究主要在針對文中所提之雙輸入並聯行星齒輪傳動機構，進行齒形參數之最佳化，並探討不同風速下之系統動力流及齒輪負載安全係數變化。此行星傳動機構具有將兩不同速、不同功率之輸入源，彙整輸出至同一發電機之特色。研究中利用此特性，整合前端兩風機葉輪及後端同步發電機，模擬建構出一具雙輸入特色之風力發電系統，並推導出此系統之非線性運動方程式。利用此分析模式，配合四階藍日庫達數值法，探討此行星傳動系統於兩輸入端均輸入額定功率風速條件下，各齒之最大動態負載、齒根應力、赫茲應力變化，並進一步藉由基因演算法，找到在符合最低安全係數限制下，此行星機構中各齒之最佳齒型參數；如：模數與齒面寬等。
　　文中除模擬不同風場輸入組合條件，如：雙葉輪等速或差異風速輸入、僅單一風機運作等情形下，整體傳動機構中各齒之時域負載變化及齒輪安全係數變化。於輸出端，文中亦針對此雙輸入系統加入可變慣性矩飛輪及改變同步發電機磁通量，對系統動態響應與發電效益等，進行分析與探討。

　　The dynamic power flow in a dual-input parallel planetary gear train system is simulated in this study. Different wind powers for the small wind turbines are merged to the synchronous generator in this system to simplify and reduce the cost of the system. Nonlinear equations of motion of these gears in the planetary system are derived. The fourth order Runge-Kutta method has employed to calculate the time varied torque, root stress and Hertz stress between engaged gears. The genetic optimization method has also applied to derive the optimized tooth form factors, e.g. module and the tooth face width.
　　The dynamic power flow patterns in this dual input system under various input conditions, e.g. two equal and unequal input powers, only single available input power, have been simulated and illustrated. The corresponding dynamic stress and safety factor variations have also been explored. Numerical results reveal that the proposed dual-input planetary gear system is feasible. To improve the efficiency of this wind power generation system. An inertia variable flywheel system has also been added at the output end to store or release the kinetic energies at higher or lower wind speed cases. A magnetic density variable synchronous generator has also been studied in this work to investigate the possible efficiency improvement in the system. Numerical results indicate that these inertia variable flywheel and magnetic density variable generator may have advantages in power generation.

謝誌 i
摘要 ii
Abstract iii
目錄 v
圖目錄 vii
表目錄 xi
符號說明 xii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 文獻回顧 3
1.3 組織章節 5
第二章 研究理論與數值方法 7
2.1風能模式 7
2.2同步發電機模式 11
2.3 齒輪系安全係數分析模式 19
2.3.1 齒輪彎曲應力破壞 19
2.3.2 齒輪表面疲勞破壞 29
2.4 四階藍日庫達法(4th Runge-Kutta Method) 35
2.5 基因演算法(Genetic Algorithm) 38
第三章 傳動系統模式建立 44
3.1傳動機構模型建立 44
3.2傳動機構運動方程 47
3.2.1 轉速分析 47
3.2.2轉矩分析 52
3.3飛輪系統 59
3.3.1可變慣性矩飛輪設計 59
3.3.2可變慣性矩飛輪運動分析 61
第四章 結果與討論 65
4.1 參數設計最佳化 65
4.2 兩輸入端相同風速效應 83
4.3 兩輸入端差異風速效應 89
4.3.1 小差異風速效應 89
4.3.2 大差異風速效應 94
4.4 單一風機運作效應 99
4.4.1 僅第一輸入端運作 99
4.4.2 僅第二輸入端運作 102
4.5 飛輪系統效應 107
4.6 磁通量變化效應 120
第五章 結論與未來工作 130
5.1 結論 130
5.2 未來工作 131
參考文獻 132

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