基于果蝇优化算法的三维LED光源阵列优化设计

何果; 文尚胜; 符民; 唐浩洲; 钟惠婷; 康丽娟

doi:10.3788/fgxb20183908.1128

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基于果蝇优化算法的三维LED光源阵列优化设计

器件制备及器件物理 | 更新时间：2020-08-12

- 基于果蝇优化算法的三维LED光源阵列优化设计
- Optimum Design of LED Array Light Source Based on Fruit Fly Optimization Algorithm
- 发光学报 2018年39卷第8期页码：1128-1135
- 作者机构：
  
  1. 华南理工大学材料科学与工程学院,广东广州,中国,510640
  2. 华南理工大学发光材料与器件国家重点实验室, 广东广州 510640
  3. 华南师范大学美术学院, 广东广州 510631
  4. 华南理工大学聚合物新型成型装备国家工程研究中心, 广东广州 510640
- 作者简介：
- 基金信息：
  
  广东省及广州市科技项目（2015YT02C093，2015B010134001，2015B010127004，201604040004，201604016010，201
- DOI：10.3788/fgxb20183908.1128
  中图分类号： TN383+.1;TN312+.8
- 收稿日期：2017-12-11，
  
  修回日期：2018-03-12，
  
  网络出版日期：2018-04-08，
  
  纸质出版日期：2018-08-05
- 稿件说明：
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何果, 文尚胜, 符民等. 基于果蝇优化算法的三维LED光源阵列优化设计[J]. 发光学报, 2018,39(8): 1128-1135

HE Guo, WEN Shang-sheng, FU Min etc. Optimum Design of LED Array Light Source Based on Fruit Fly Optimization Algorithm[J]. Chinese Journal of Luminescence, 2018,39(8): 1128-1135
何果, 文尚胜, 符民等. 基于果蝇优化算法的三维LED光源阵列优化设计[J]. 发光学报, 2018,39(8): 1128-1135 DOI： 10.3788/fgxb20183908.1128.

HE Guo, WEN Shang-sheng, FU Min etc. Optimum Design of LED Array Light Source Based on Fruit Fly Optimization Algorithm[J]. Chinese Journal of Luminescence, 2018,39(8): 1128-1135 DOI： 10.3788/fgxb20183908.1128.

摘要

为了在现有研究基础上使LED阵列光源的照度均匀度进一步提高，提出了一种新的LED阵列优化途径。根据Ivan Moreno提出的二维LED阵列优化设计方法，本文设计了以两种不同方式分布排列的二维优化LED阵列。利用果蝇优化算法对二维优化LED阵列芯片的位置参数进行进一步优化，实现LED阵列位置参数的三维空间的优化设计，使LED阵列光源的照度均匀度更优。使用TracePro对LED阵列的三维优化结果进行验证。研究结果表明，基于果蝇优化算法，经三维优化后的圆形LED阵列的照度均匀度可达到96.0%，相较于二维优化后的圆形LED阵列提高了25.3%；经三维优化后的正方形LED阵列的照度均匀度可达到97.4%，相较于二维优化后的正方形LED阵列提高了7.7%。该优化方法被证明是可行的，相较于传统优化方法，该方法节约了大量人力物力成本。

Abstract

In order to improve the illumination uniformity of LED array light source

a new way to design 3D LED arrays was proposed. At first

the formulas of LED array's illuminance on the target panel were derived and a mathematical model was then deduced in order to measure LED array's illumination uniformity. Then

a 2D circular LED array and a 2D square array were designed based on the way put forward by Ivan Moreno. The spatial positional parameters of the LEDs in the arrays were further optimized by the fruit fly optimization algorithm

and the standard deviation of illuminance on target panel was set as the taste concentration decision function of fruit fly optimization algorithm. The lower value the taste concentration decision function could obtain

the higher illuminance uniformity the optimized 3D LED array would have. The whole simulation process was carried on by the MATLAB software. In this way

the three-dimensional optimization of LEDs' locations in the arrays was accomplished

which made the illumination uniformity of the LED arrays much higher. At last

the TracePro optical software was adopted to imitate and test the illuminating effect of the optimized 3D arrays. The results of this experiment show that

after being optimized by the fruit fly optimization algorithm

the illumination uniformity of the optimized 3D circular LED array increased to 96.0%

which is 25.3% higher than the optimized 2D one

and that the illumination uniformity of the optimized 3D square LED array increased to 97.4%

which is 7.7% higher than the optimized 2D one. The results prove that this new optimization method is practicable

and compared to the traditional optimization methods

this new method is more efficient as the LED arrays are allowed to be optimized automatically by computer program

which greatly reduce the cost of time

material and manpower.

关键词

Keywords

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