研究生: |
周發泰 Fa-tai Chou |
---|---|
論文名稱: |
基因演算法於發光二極體模擬目標光源之研究 Simulation of standard illuminants based on combinations of LED light sources using genetic algorithm |
指導教授: |
柯正浩
Cheng-Hao Ko |
口試委員: |
徐勝均
Sheng-Dong Xu 沈志霖 Jhih-lin shen |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 自動化及控制研究所 Graduate Institute of Automation and Control |
論文出版年: | 2011 |
畢業學年度: | 100 |
語文別: | 中文 |
論文頁數: | 91 |
中文關鍵詞: | 基因演算法 、光譜儀 、D65標準光源 、A標準光源 、發光二極體 |
外文關鍵詞: | Genetic algorithm, Spectrometer, D65 standard illuminant, A standard illuminant, LED |
相關次數: | 點閱:418 下載:7 |
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半導體材料及製程技術的進步,發光二極體(Light Emitting Diode)顏色及亮度有大幅度地改善。由於發光二極體光譜分布比較窄,可利用不同波長發光二極體和調整發光二極體的光譜強度之參數值,即可改變目標光譜。另一方面,多變數的函數求解,其過程相當複雜且費時,如使用人工計算方式不僅不易求得最佳解,也容易發生錯誤,基因演算法(Genetic algorithm)是有效獲得最佳解方法,並且找出發光二極體的光譜強度之參數值。
本研究以5種不同光源之光譜為目標(D65、A、高斯光譜光源、等強度光譜光源、方形光譜光源),在波長300 nm至 700 nm範圍內,使用7到 11 種不同波長發光二極體模擬組成光譜研究,研究結果使用 11 種發光二極體組成相似度高的目標光譜,兩者光譜誤差值依照排序分別為4.91%、1.93%、2.07 %、2.80 %、12.30%。
因此自行設計一套光譜儀軟體及光源控制電路,由基因演算法得到參數值,經光譜儀軟體控制發光二極體光源電路,發光二極體光源透過微光譜儀傳給電腦軟體顯示光譜訊號。驗證此方法理論,發光二極體組成相似度高的目標光譜,可以實現光譜的優化結果。
The advancement in semiconductor materials and processing technologies has improved the color performance and brightness of light-emitting diode (LED). The spectral distribution of LED is quite narrow; therefore it requires various wavelengths of LEDs and adjusting spectral intensity value of the LEDs to obtain the simulated spectrum.
But a mathematically solvable process with many variables is not only complex but also time consuming. Manual calculation is not easy to obtain the optimal values and has the risk of pilot errors. Compared with that, the Genetic Algorithm is an efficient way to acquire for the optimal values of the parameters for spectral intensity value of the LEDs.
This research uses 5 different types of target spectra in the following order: D65, A, Gaussian spectral intensity, equal spectral intensity, and square,within the spectral range from wavelength 300 nm to 700 nm. The simulate spectra were composed of adopting 7 to 11 different LED wavelengths. The values of the Root-Mean-Square (RMS) error for these 5 spectrum types are 4.91 %, 1.93 %, 2.07 %, 2.80 %, and 12.30 %, respectively.
A spectrometer program and a control circuit is developed. It first runs the Genetic Algorithm to acquire the parameters, which are then passed to control the intensities of the LEDs. By using a spectrometer, the spectrum of the LED is passed to the computer program to process the feedback control.
We have demonstrated a feedback control system to simulate the standard illuminants by a combination of LEDs.
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