基於遞迴式小波模糊類神經控制策略之智慧型變流器設計

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姓名

陳柏愷(Bo-Kai Chen) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

基於遞迴式小波模糊類神經控制策略之智慧型變流器設計
(Design of a Smart Inverter Based on Recurrent Wavelet Fuzzy Neural Network Control Strategy)

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摘要(中)

本論文旨在改善微電網在併網模式時因負載變化而造成的實虛功控制暫態響應，以及當市電端發生異常轉為孤島模式時，而造成的電壓擾動的暫態響應，因此使用一具有模糊推理機制和線上學習能力的遞迴式小波模糊類神經網路 (Recurrent Wavelet Fuzzy Neural Network, RWFNN)及來取代傳統比例積分(Proportional Integral, PI)控制器，來改善暫態響應，達到更好的控制效果，該網路經常被應用在處理具有非線性和不確定性的控制系統。
本文使用MATLAB R2017a/Simulink來建置一微電網之架構且分別操作於併網模式與孤島模式來模擬，驗證 PI 與 FNN 及本文所使用之 RWFNN 的演算法之可行性。實驗方面，將各演算法寫入德州儀器(Texas Instruments, TI)公司的 DSP TMS320F28335 微控制器中，再使用 Opal-RT 所建立的硬體迴圈(Hardware-in-the-loop, HIL)作為架構，驗證本文所提演算法及跟其他演算法相比之差異。

摘要(英)

This paper dedicated to improve the transient response of the real and
reactive power control at grid-connected mode in the microgrid and the
voltage disturbance caused by the load change at islanding mode .
Therefore, a Recurrent Wavelet Fuzzy Neural Network (RWFNN)
with fuzzy inference mechanism and online learning capabilities is used to
replace the traditional Proportional Integral (PI) controller to improve
transient response . However, to achieve better control effect, the network
is often used to deal with non-linear and uncertain control systems.
This article uses MATLAB R2017a/Simulink to build a microgrid
architecture and operates in grid-connected mode and island mode
respectively to simulate the feasibility of PI and FNN and the RWFNN
algorithm used in this article. In terms of experiments, each algorithm is
implented on DSP TMS320F28335 microcontroller of Texas Instruments
(Texas Instruments, TI), and then the hardware-in-the-loop (HIL)
established by Opal-RT is used as architecture, verify the algorithm
proposed in this article and its differences compared with others.

關鍵字(中)

★ 微電網
★ 主從控制
★ 小波
★ 遞迴式
★ 模糊類神經

關鍵字(英)

★ Microgrid
★ Master-slave control
★ Wavelet
★ Recursive equation
★ Fuzzy Neural Network

論文目次

論文摘要..................................................................................................... I
ABSTRACT...............................................................................................II
致謝...........................................................................................................III
目錄.......................................................................................................... IV
圖目錄.....................................................................................................VII
表目錄...................................................................................................... XI
第一章緒論...............................................................................................1
1-1 研究背景與動機 .............................................................................1
1-2 文獻探討..........................................................................................2
1-3 論文大綱..........................................................................................4
第二章微電網之控制策略 ......................................................................5
2-1 控制策略之分類............................................................................5
2-1-1 中央控制法：..........................................................................5
2-1-2 主從控制法：..........................................................................6
2-1-3 下垂控制法：..........................................................................7
2-2 主從控制下之孤島模式與併網模式............................................9
2-3 微電網之相位檢測技術..............................................................12
2-3-1 零交越法(Zero-Crossing Method) ........................................12
2-3-2 電網電壓濾波法 (Filtering of Grid Voltages)......................13
2-3-3 鎖相迴路法(Phase Locked Loop, PLL)................................14
2-4 併網規範......................................................................................21
第三章模糊類神經網路 ........................................................................25
3-1 模糊理論(FUZZY THEORY)...........................................................25
3-1-1 模糊化介面..........................................................................26
3-1-2 模糊知識庫..........................................................................26
3-1-3 模糊推論引擎......................................................................27
3-1-4 解模糊化..............................................................................27
3-2 模糊類神經網路..........................................................................29
3-3 小波轉換......................................................................................29
3-4 遞迴結構......................................................................................30
3-5 遞迴式小波模糊類神經網路......................................................31
3-5-1 遞迴式小波模糊類神經網路線上學習法則 .....................34
第四章系統架構與模擬結果 ................................................................38
4-1 系統架構......................................................................................38
4-2 控制策略......................................................................................39
VI
4-2-1 併網模式..............................................................................39
4-2-2 孤島模式..............................................................................40
4-3 正弦脈波寬度調變......................................................................41
4-4 模擬環境建置與結果..................................................................42
4-4-1 情境一之模擬結果..............................................................43
4-4-2 情境二之模擬結果..............................................................52
4-4-3 情境三之模擬結果..............................................................57
第五章硬體迴圈架構及實驗結果 ........................................................65
5-1 硬體迴圈測試環境 .......................................................................65
5-2 硬體迴圈實驗結果 .......................................................................71
第六章結論與未來研究方向 ................................................................75
6-1 結論................................................................................................75
6-2 未來研究方向................................................................................75
參考文獻...................................................................................................77

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指導教授

陳正一(Cheng-I Chen)

審核日期

2021-9-23

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