Plant Lighting Source Based on Particle Swarm Optimization Spectral Matching Technology
LI Xiaomeng
LIU Meiyan
YU Xiaoxu
SHI Minghui
SUN Wenliang
CAO Fan
WANG Jinpeng
ZOU Nianyu
Abstract：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.
Keywords：LEDspectrum matching optimizationplant lighting sourceparticle swarm optimizationcorrelation index
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 78-82 )