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研究生: 廖建棠
Liao, Jian-Tang
論文名稱: 以支持向量機為基礎之高聚光型太陽能電池追日感測系統
An SVM-based Sun-Tracking Sensor for High-Concentration Photovoltaic System
指導教授: 楊宏澤
Yang, Hong-Tzer
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 71
中文關鍵詞: 追日系統高聚光型太陽能電池追日感測器支持向量機
外文關鍵詞: sun sensor, support vector machines, high-concentration photovoltaic, sun tracking system
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  • 現有追日感測器大多採比較對應兩側感光元件感測值的方式,判斷入射光偏移方向,但每一個感光元件電氣特性無法完全一致,故安裝追日感測器時,需使對應兩邊電氣特性盡可能一致之特殊製程光敏二極體與模組呈電氣特性平行,調校程序相當冗長。本文所提追日感測系統使用支持向量機(Support vector machines, SVM)來判斷太陽光入射方位,僅以回授信號相對大小來判斷光入射方向,不準確比較感測值大小,故不需考慮光敏二極體電氣特性匹配問題。
    由於當日照強烈時,周圍太陽散射光(非太陽直射光)會影響感測值,故無法準確判斷入射光方向。因此本文將收集的資料依太陽入射光偏移方位分為「正對」、「向東」、「向西」、「向南」與「向北」五個類別,並以支持向量機理論將其訓練分類,求出最佳超平面,以判斷追日感測器所回傳數值為何種類別,而得知入射光方向以驅動雙軸馬達。
    由實驗數據結果得知,運用本文所提架構,即使在追日感測器與模組未達電性平衡的情況下,以支持向量機的訓練結果來判斷光入射方向,依然能有高準確率,故可有效簡化感測器安裝程序,亦可選用一般感光元件而不需考慮其電氣特性匹配的問題。

    The method of estimating the direction of incident sun light using existing sun tracking sensors involves comparing the sensed values of corresponding photosensitive devices. When installing the sun-tracking sensor in the high-concentration photovoltaic (HCPV) system, the photodiodes used in the sensor system should be made via special manufacturing and tuning processes to have electrical balanced properties for the opposite directions sensing with HCPV modules. However, the tuning process may be tedious and time consuming. Therefore, the sun sensor system proposed in this thesis comprises four general photodiodes, and uses support vector machine (SVM) theory to estimate the direction of the incident sun light. Because this sensor does not need to compare sensed values accurately, it is less influenced by the electrically unbalanced photo devices.
    Because the output signal of sun sensor is strongly affected by sun light radiation, it is not possible to accurately estimate the direction of the incident light. To solve the problem, this thesis classifies the input data as “Aim,” “Deflect East,” “Deflect West,” “Deflect South,” and “Deflect North,” and then train the SVM theory by using the training data collected to find Optimal separating hyperplane (OSH). Finally, the sun tracking sensor system can determine the direction of the incident sun light and provide a suitable command to drive dual-axis actuators for the HCPV system.
    The practical testing results show that the method proposed in this thesis achieves a high rate of accurate tracking, even the photodiodes used are not electrical balanced. This, in turn, makes it possible to simplify the process of installing the sun sensor with cheaper photo devices employed. The electrical unbalance property of the photo device used is thus not much concerned in the proposed sun-tracking system.

    摘要...................................................i Abstract..............................................ii 表目錄...............................................vii 圖目錄..............................................viii 第一章 緒論...........................................1 1.1 研究動機與目的................................1 1.2 文獻回顧......................................2 1.3 研究方法......................................3 1.4 組織架構......................................5 第二章 太陽能電池......................................6 2.1 太陽能電池原理................................6 2.2 太陽能電池電學特性............................8 2.3 太陽能電池...................................13 第三章 高聚光型太陽能追日系統.........................15 3.1 太陽軌跡方程式...............................15 3.2 追日感測器...................................17 3.2.1 光敏二極體...................................17 3.2.2 太陽能電池...................................23 3.2.3 光敏電阻.....................................26 3.2.4 CCD影像感測器................................27 3.3 追日感測器...................................30 3.3.1 現有追日感測器...............................30 3.3.2 壓克力半球罩對入射光偏移影響.................30 3.3.3 追日感測器電路...............................34 第四章 追日感測器設計架構.............................36 4.1 追日感測器構造...............................36 4.2 支持向量機基本理論...........................42 4.2.1 線性支持向量機...............................42 4.2.2 Karush-Kuhn-Tucker條件.......................46 4.2.3 核函數.......................................47 4.2.4 目標函數修正.................................48 4.2.5 支持向量機多元分類...........................51 4.3 本文所提追日感測器動作原理...................52 4.3.1 感測與資料處理...............................53 4.3.2 支持向量機太陽位置判別.......................54 4.3.3 追日感測與控制...............................54 第五章 數值結果與討論.................................56 5.1 現有HCPV系統架構.............................56 5.2 追日感測訓練資料建立.........................57 5.3 追日感測測試數值結果.........................57 5.4 結果分析與討論...............................63 第六章 結論與未來研究方向.............................65 6.1 結論.........................................65 6.2 未來研究方向.................................66 參考文獻..............................................67

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