| Title |
A Novel Spectral Matching LED Lighting Source for Plant |
| Authors |
Fan CaoFan Cao ; Ailin ChenAilin Chen ; Zhisheng WangZhisheng Wang ; Xiaoyang HeXiaoyang He ; Nianyu ZouNianyu Zou |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2017.31.8.049 |
| Keywords |
Plant Lighting Source ; Spectral Matching Optimization ; Bat Algorithm ; Correlation Index |
| Abstract |
This paper deals with the spectral matching optimization by a group of narrowband high power LEDs to achieve the target spectrum required by plant growing, the correlation index is a key evaluation criteria, higher value of which is often difficult to achieve because of the poor performance of spectral matching algorithm. The bat algorithm is proposed as a spectral matching algorithm. Parameters of bat algorithm under high correlation index are selected by observing the parameter variation tendency in the spectral matching simulation. In the experimental verification, 2 kinds of control circuit are used to match the target spectrum. Experimental results shows that appropriate parameter groups of bat algorithm must select based on their relationship with the correlation index. In practical experiment, the optimal correlation index is 0.70±0.05 under conditions of 3 selected bat algorithm parameter groups. It is of significance to plant lighting in the engineering practice exploratory. |