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研究生:張恩維
研究生(外文):En-Wei Chang
論文名稱:以超級電容為儲能元件之內藏式永磁同步馬達控制
論文名稱(外文):A Supercapacitor Based IPMSM drive using intelligent control
指導教授:林法正林法正引用關係
指導教授(外文):Faa-Jeng Lin
學位類別:碩士
校院名稱:國立中央大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:107
中文關鍵詞:內藏式永磁同步馬達超級電容切比雪夫模糊類神經網路城市輕軌車
外文關鍵詞:Interior permanent magnet synchronous motorLight rail vehicleSupercapacitor
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在本研究中,開發了一種基於超級電容的內藏式永磁同步馬達驅動,以模擬城市輕軌車輛的運行,包括特定速度曲線的速度追隨和超級電容的充電。在基於超級電容的內藏式永磁同步馬達驅動中,設計了用於模擬輕軌車輛速度控制的驅動模式和用於超級電容充電的充電模式。在驅動模式下,開發了磁場導向控制內藏式永磁同步馬達驅動系統來模擬輕軌車輛的速度控制。在充電模式下,為超級電容的充電開發了恆流恆壓充電策略。此外,以上兩種模式使用相同的變頻器和坐標軸轉換以降低設計複雜度。而為了測試超級電容的性能,使用特定的測試行駛週期來獲得仿真輕軌車輛的速度命令。設計目標是對超級電容進行快速充電,使其能夠為模擬的輕軌車輛提供足夠的能量,以運行完整的測試行駛週期。另外,為提高仿真輕軌車輛暫態速度響應的控制性能,提出了一種切比雪夫模糊類神經網絡速度控制器,並詳細推導了所提出的切比雪夫模糊類神經網路的網絡架構,線上學習法則和收斂性分析。最後,展示一些實驗結果,以證明所開發之針對超級電容的恆流恆壓充電策略以及所提出的切比雪夫模糊類神經網路速度控制器對於仿真輕軌車輛的有效性。
A supercapacitor (SC) based interior permanent magnet synchronous motor (IPMSM) drive is developed in this study to emulate the operation of an urban light rail vehicle (LRV) including the speed tracking of a specific velocity profile and the charging of the SC. In the SC based IPMSM drive, the motoring mode to emulate the LRV speed tracking control and the charging mode for the charging of the SC are both designed. In the motoring mode, a field-oriented controlled (FOC) IPMSM drive system is developed to emulate the speed control of a LRV. In the charging mode, the constant current and constant voltage (CC-CV) charging strategy is developed for the charging of the SC. Moreover, the above two modes use the same inverter and coordinate transformations to reduce the design complexity. Furthermore, in order to test the performance of SC, the speed command of the emulated LRV is obtained using a specific testing driving cycle. The design objective is a quick charge of SC being able to provide enough energy for the emulated LRV to operate a full testing driving cycle. In addition, to improve the control performance of the transient speed of the emulated LRV, a Chebyshev fuzzy neural network (CheFNN) speed controller is proposed. The network structure, online learning algorithm and the convergence analysis of the proposed CheFNN are derived in detail. Finally, some experimental results are given to demonstrate the effectiveness of the developed CC-CV charging strategy for the SC and the proposed CheFNN speed controller for the emulated LRV.
摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VII
表目錄 X
第一章 緒 論 1
1.1 研究背景與動機 1
1.2 文獻回顧 2
1.3 論文大綱 5
1.4 本文貢獻 6
第二章 基於超級電容之內藏式永磁同步馬達驅動平台硬體介紹 8
2.1 馬達變頻驅動系統 8
2.2 改良式磁粉式剎車 9
2.3 數位訊號處理器 10
2.4 周邊電路板 15
2.4.1 交流電流回授電路 16
2.4.2 交流電壓回授電路 16
2.4.3 直流電壓回授電路 17
2.4.4 過流保護電路 17
2.4.5 開關互鎖電路 18
第三章 內藏式永磁同步馬達數學模型及電磁轉矩程式 19
3.1 三相座標轉換 21
3.2 內藏式永磁同步馬達在abc座標系下之數學模型 24
3.3 內藏式永磁同步馬達在αβ座標系下之數學模型 26
3.4 內藏式永磁同步馬達在d-q座標系下之數學模型 30
3.5 凸極式反電動勢定義 33
第四章 超級電容之原理與種類,特性以及應用 36
4.1 超級電容工作原理 36
4.2 超級電容的種類 37
4.2.1 電雙層電容 38
4.2.2 偽電容 39
4.2.3 混合電容 40
4.3 超級電容的特性 41
4.4 超級電容的應用 43
4.4.1 超級電容在交通運輸的應用 43
4.4.2 備用電源和可攜式消費性電子的應用 44
第五章 切比雪夫模糊類神經網路 46
5.1 切比雪夫模糊類神經網路架構 46
5.2 線上學習法則 49
5.3 網路收斂性分析 51
第六章 基於超級電容的仿真輕軌車輛平台實驗架構 54
6.1 系統簡介 54
6.2 超級電容充電器 55
6.2.1 鎖相迴路 56
6.3 行駛週期定義 57
第七章 模擬與實驗結果 59
7.1 仿真輕軌車輛速度控制 61
7.1.1 實驗架構與設計 62
7.1.2 模擬結果 63
7.2 實驗結果 77
第八章 結論與未來研究方向 87
參考文獻 88
作者簡歷 92
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