研究生: |
林承毅 Lin, Cheng-Yi |
---|---|
論文名稱: |
應用模糊類神經網路理論於太陽能板動態最大功率追蹤之研究 Study of Dynamic Maximum Power Point Tracking of Photovoltaic Array Using Fuzzy Neural Network |
指導教授: |
陳添智
Chen, Tien-Chi |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工程科學系 Department of Engineering Science |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 英文 |
論文頁數: | 66 |
中文關鍵詞: | 最大功率追蹤 、模糊類神經網路 |
外文關鍵詞: | FNN, MPPT |
相關次數: | 點閱:70 下載:2 |
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本論文的主旨在研究ㄧ太陽能板的最大功率追蹤系統。當太陽光照強度發生變化或雜訊干擾的情況之下,此追蹤系統仍然可以準確且快速的追蹤到太陽能板的最大功率點。
而此太陽能板最大功率追蹤系統中,硬體架構包含太陽能板、升壓型直流轉換器電路、數位訊號處理器及電腦。由模擬及實驗數據顯示,太陽能板為非線性曲線,容易受到溫度及光照強度所影響。藉由升壓型直流轉換器電路測試,元件的匹配,使得電感電流能夠處於連續導通模式,負載電容能夠消除輸出電壓的漣坡效應,讓太陽能板能夠輸出最大的功率。
最後,藉由數位訊號處理器實現太陽能追蹤系統。由實作結果看出當太陽能板發生嚴重的烏雲干擾時,此模糊類神經網路控制器可以處理太陽能板因為雜訊所造成的非線性及不確定的因素,準確的控制太陽能板輸出最大功率。驗證所提出的模糊類神經網路控制器應用於太陽能板,能夠有最佳的效能及最大的功率輸出。
The purpose of this thesis is to develop a maximum power point tracking (MPPT) system of the photovoltaic (PV) array. When the sunshine intensity changes or noise affect, this controller can track the maximum power point (MPP) of the PV array quickly and exactly.
The hardware of the MPPT system of PV array includes the PV array, boost converter circuit, TMS320LF2407 DSP and computer. From the simulation and experiment results, the characteristic curves of the PV array are non-linear, which is affected easily by the temperature and sunshine intensity. According to the choice of components, the inductor current is operated in the continuous conduction mode (CCM) and the output ripple voltage can be eliminated by the output capacitor, then the MPP output of the PV array can be achieved.
The DSP TMS320LF2407 is used to realize the MPPT of the PV array. In the experiment results, the Fuzzy Neural Network (FNN) controller can dealt with the non-linear and uncertain system arose from the noise affect to achieve the MPP control of PV array. The experimental results demonstrate that the FNN controller applied to the PV system can provide the optimal effectiveness and the maximum power output.
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