发光二极管
色温
材料科学
混合(物理)
光谱功率分布
大气温度范围
补偿(心理学)
叠加原理
一致性(知识库)
航程(航空)
温度测量
标准差
光学
光电子学
物理
计算机科学
数学
热力学
统计
复合材料
人工智能
精神分析
量子力学
心理学
作者
Xuening Liu,Chenwei Jiang,Xiaoke Liu,Zhihao Liu,Min Hu,Zhengfei Zhuang
标识
DOI:10.1016/j.optlastec.2023.110440
摘要
This paper proposes a temperature compensation method for RGBW LED mixing based on fast non-dominated sorting genetic algorithm(NSGA-II). The proposed method can achieve compensation for temperature-induced changes in LED correlated color temperature (CCT), color fidelity (Rf) and color gamut index (Rg) by predicting the spectral power distribution (SPD) at different temperatures. The SPD-temperature model of the RGBW LED light source is established by measuring the spectral power distribution of LEDs at different temperatures. Based on the established model, NSGA-II is used to compensate the mixing temperature of the RGBW LED light source according to the spectral superposition theorem. The experimental results show that the fit of the established temperature-spectral model is R2 > 0.98, and the deviation of the compensated mixing results from the initial state of the light source is less than 10 K in CCT; the deviation value of Rf is less than 4 % in the range of 2000 K-7000 K, and less than 2.15 % in the range of 3000 K-7000 K; and the deviation value of Rg in the range of 2000 K-7000 K is less than 4.46 %.
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