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系統識別號 U0026-1505201910353200
論文名稱(中文) 電動機車用表面型永磁同步馬達之最佳化設計APP建置
論文名稱(英文) Optimal Design APP of Surface Permanent Magnet Synchronous Motor for Electrical Scooter
校院名稱 成功大學
系所名稱(中) 系統及船舶機電工程學系
系所名稱(英) Department of Systems and Naval Mechatronic Engineering
學年度 107
學期 2
出版年 108
研究生(中文) 吳凱迪
研究生(英文) Hoi-Tek Ng
學號 P16035016
學位類別 碩士
語文別 中文
論文頁數 80頁
口試委員 指導教授-謝旻甫
指導教授-沈聖智
口試委員-施凱中
中文關鍵字 iOS APP  最佳化設計 
英文關鍵字 iOS APP  optimal design 
學科別分類
中文摘要   本研究以電動機車為對象,針對表面型永磁同步馬達(permanent magnet synchronous motor, PMSM),以最大轉矩及最小轉矩漣波為目標,對電動機的定子部份,齒寬、靴部厚度及槽開口三個部份,利用反應曲面法與多目標粒子群演算法作最佳化設計。
  因應流動裝置愈趨成熟的時代走向,本研究透過Xcode擇寫了一個iOS APP的雲端模擬平台,APP可依使用者對電動機車的使用環境,輸入不同情況的需求後,先作出負載分析,並依序按照使用者對電動機的規格需求,計算出電動機的基本參數尺寸,然後再針對定子部份作最佳化處理,最後模擬驗證並對結果加以討論。
英文摘要 This thesis aims to develop an APP in which users can do the load analysis and the optimal design of surface permanent magnet synchronous motor for electrical scooter. In this thesis, a combination of Response Surface Methodology and Multi-objective Particle Swarm Optimization is proposed to maximize the output torque and minimize the torque ripple of the motor in order to improve the performance of the motor and the comfort of the electrical scooter.
The proposed Response Surface Methodology is built by running FEA simulations and combined with the Multi-objective Particle Swarm Optimization. After the optimization, the method is validated by comparison.
論文目次 摘要 I
EXTENDED ABSTRACT II
誌謝 IX
目錄 X
表目錄 XIII
圖目錄 XIV
符號表 XVII
第一章 緒論 1
1.1 研究背景 1
1.2 文獻回顧 4
1.3 研究動機與目的 6
1.4 本文架構 7
第二章 永磁無刷電動機基礎理論 8
2.1 電動機選擇 8
2.1.1 碳刷 9
2.1.2 永磁同步電動機的特性 9
2.1.3 轉子 10
2.1.4 磁鐵 10
2.1.5 小結 11
2.2 氣隙模型 11
2.3 槽模型 13
2.4 磁鐵磁導與漏磁導 15
2.5 反電動勢與轉矩 16
2.5.1 磁路模型 17
2.5.2 反電動勢 19
2.5.3 轉矩 19
第三章 電動機設計及規格製訂 20
3.1 行駛阻力 20
3.1.1 滾動阻力 21
3.1.2 氣動阻力 22
3.1.3 斜坡阻力 22
3.1.4 慣性阻力 22
3.1.5 總牽引力 23
3.2 電動機車行車需求評估 23
3.2.1 平地等速 25
3.2.2 平地等加速 26
3.2.3 斜坡等速 27
3.2.4 最大功率與最大轉矩 28
3.3 電動機設計 31
3.3.1 轉子尺寸 31
3.3.2 感應電動勢常數與電流 32
3.3.3 槽極配 33
3.3.4 磁鐵 33
3.3.5 匝數 33
3.3.6 槽面積 34
3.3.7 其他細部尺寸 36
3.4 模擬 39
第四章 最佳化分析 41
4.1 反應曲面法介紹 41
4.2 最佳化演算法介紹 44
4.3 粒子群演算法 45
4.3.1 介紹 45
4.3.2 標準粒子群演算法 46
4.4 PSO其他變型公式 51
4.5 多目標粒子群演算法 52
4.6 最佳化應用與模擬 54
第五章 APP之建置 66
第六章 結論與建議 73
參考文獻 75
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