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基于粒子群优化光谱匹配技术的植物照明光源 被引量:3

Plant Lighting Source Based on Particle Swarm Optimization Spectral Matching Technology
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摘要 研究利用LED组合实现植物照明目标光谱的匹配算法。提出粒子群优化算法作为光谱匹配算法。通过观察相关指数随优化算法各参数在匹配中的变化趋势,筛选出高相关指数时各参数取值组合。采用两种控制电路对取值组合进行光谱匹配。实验结果表明:粒子群优化算法光谱匹配各项参数的取值组合需预先根据其与相关指数之间的关系进行筛选,较优取值组合在实际试验中能够达到的相关指数为0.70±0.03。对植物照明领域的工程实践具有探索意义。 Spectral matching algorithm on plant lighting was studied,in which a plurality of LED in combination were used. Particle swarm algorithm was proposed as spectral matching algorithm. By observing the variation trend that the correlation index changes as parameters of particle swarm algorithm in spectrum matching process varies,the result which was screened in a high correlation index was obtained. Two control circuits are used to match the spectrum. Results show that the parameters combination in the process of spectral matching are to be screened based on their relationship with the correlation index. The highest correlation index which is observed in practical test is 0. 70 ± 0. 03. This work is of significance to plant lighting in the engineering practice exploratory.
出处 《照明工程学报》 2016年第5期78-82,共5页 China Illuminating Engineering Journal
基金 2014年度大连市科技计划项目(2014A11GX050 2014A11GX052)
关键词 LED 光谱匹配优化 植物照明光源 粒子群优化算法 相关指数 LED spectrum matching optimization plant lighting source particle swarm optimization correlation index
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