基于改进人工鱼群算法的LED混光方法

栾新源; 刘廷章; 周壮丽

doi:10.3788/fgxb20153601.0113

您当前的位置：

首页 >

文章列表页 >

基于改进人工鱼群算法的LED混光方法

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 基于改进人工鱼群算法的LED混光方法
- LED Color Mixing Design Based on Improved Artificial Fish Swarm Algorithm
- 发光学报 2015年36卷第1期页码：113-120
- 作者机构：
  
  1. 上海大学机电工程与自动化学院上海市电站自动化技术重点实验室上海,200072
  2. 上海亮硕光电子科技有限公司上海,201203
- 作者简介：
- 基金信息：
  
  国家自然科学基金(61273190)();上海市科学技术委员会(12dz1143700,13111102500)资助项目()
- DOI：10.3788/fgxb20153601.0113
  中图分类号： TN401
- 纸质出版日期：2015-1-3，
  
  收稿日期：2014-10-16，
  
  修回日期：2014-11-12，
扫描看全文
栾新源, 刘廷章, 周壮丽. 基于改进人工鱼群算法的LED混光方法[J]. 发光学报, 2015,36(1): 113-120

LUAN Xin-yuan, LIU Ting-zhang, ZHOU Zhuang-li. LED Color Mixing Design Based on Improved Artificial Fish Swarm Algorithm[J]. Chinese Journal of Luminescence, 2015,36(1): 113-120
栾新源, 刘廷章, 周壮丽. 基于改进人工鱼群算法的LED混光方法[J]. 发光学报, 2015,36(1): 113-120 DOI： 10.3788/fgxb20153601.0113.

LUAN Xin-yuan, LIU Ting-zhang, ZHOU Zhuang-li. LED Color Mixing Design Based on Improved Artificial Fish Swarm Algorithm[J]. Chinese Journal of Luminescence, 2015,36(1): 113-120 DOI： 10.3788/fgxb20153601.0113.

摘要

为寻求高LED颗粒利用率和高光效

引入了新LED组合进行混光

提出利用改进人工鱼群算法优化LED光通量配比

并设计了一款可调光调色筒灯来验证算法的可行性。引入相对基强化学习算法优化人工鱼种群;引入柯西分布和正态分布函数作为自适应算子

优化视域和步长。用积分球测试经优化后的灯具

数据表明灯具具有很高的颗粒利用率和光效。结果表明本文提出方法切实可行

具有很高的实用价值。

Abstract

A novel design of LED mixing color based on improved artificial fish swarm algorithm (AFSA) was proposed. In order to improve convergence rate and accuracy of AFSA

opposition-based reinforcement learning was utilized to optimize solution space of AFSA

Normal and Cauchy distribution function were employed as adaptive weight operators to optimize vision field and step-size. The white

amber and blue LEDs were chosen to design LED lamp samples. LED proportions of 4 000 K color temperature among those LEDs were optimized by AFSA and new AFSA in the Matlab. Simulations indicate that improved AFSA has the higher convergence rate and accuracy. After LED lamps were tested by integrating sphere

the results show that the difference between the actual value and simulation calculation value is tiny

and the improved AFSA is effective. The improved AFSA provides a new efficient method for the calculation of LED proportions. Compared with the traditional method

the new method not only saves a significant amount of time

but also achieves higher luminous efficacy for lamps. All these show that the new method is effective and has high practical value.

关键词

混光人工鱼群算法优化

Keywords

color mixingartificial fish swarm algorithmoptimization

references

Xiao C D, Liu C J, Liu W D, et al. Reliability assessment of LED lamp based on acceleration degradation test [J]. Chin. J. Lumin.(发光学报), 2014, 35(9):1143-1151 (in Chinese).

Zhao Y H, Fan C J. Design of combined reflectors used in LED street lamps [J]. Chin. Opt.(中国光学), 2012, 5(5):520-524 (in Chinese).

Li X, Jin S Z, Wang L, et al. Effect of different color temperature LED sources on road illumination under mesopic vision [J]. J. Opt.Laser (光电子激光), 2011, 22(7):997-999 (in Chinese).

Zhang Q W, Chen Z L, Hu Y K. Study on the influence of Lighting source color temperature on visual performance in tunnel and road lighting [J]. Chin. Illumin. Eng. J.(照明工程学报), 2008, 19(2):24-29 (in Chinese).

Lu G Z, Liu Z. LED color temperature adjustable panel Light [J]. Chin. Hosp. Arch. Equi.(中国医院建筑与装备), 2012, 9:76-77 (in Chinese).

Morita T, Takura H. Effects of lights of different color temperature on the nocturnal changes in core temperature and melatonin in humans [J]. Appl. Hum. Sci., 1996, 15(5):243-246.

Kim I T, Choi A S, Jeong J W. Precise control of a correlated color temperature tunable luminaire for a suitable luminous environment [J]. Build. Environ., 2012, 57:302-312.

Guo J, Jin S Z. Design for white light source based on RGB LED illumination module [J]. Chin. J. Liq. Cryst. Disp.(液晶与显示), 2009, 24(1):145-149 (in Chinese).

Mao Z H, Xu S, Li F S, et al. Uniform dimming technologies for large-area OLED module [J]. Chin. J. Liq. Cryst. Disp.(液晶与显示), 2014, 29(3):403-409 (in Chinese).

Yan L Q, Yang W Q, Li S Z, et al. Dynamic color temperature white lighting source based on red green and blue light emitting diode [J]. Acta Optica Sinica (光学学报), 2011, 31(5):0523004-1-7 (in Chinese).

Dai S C, Guo Z Q, Lv Y J, et al. Spectrum optimization of bi-color and tri-color phosphor-converted white LEDs in neutral correlated color temperature system [J]. Chin. J. Lumin.(发光学报), 2012, 33(8):873-878 (in Chinese).

Xu D S, Chen X, Zhu X, et al. A dimming lighting source based on cold and warm white LEDs [J]. Acta Optica Sinica (光学学报), 2014, 34(1):0123004-1-7 (in Chinese).

Li X L, Shao Z J, Qian J X. An optimizing method based on autonomous animals: Fish swarm algorithm [J]. System Eng. Theory Prac.(系统工程理论与实践), 2002, 11:32-38 (in Chinese).

Harris A C, Weatherall I L. Objective evaluation of color variation in the sand-burrowing beetle chaerodes trachyscelides white (Coleoptera: Tenebrionidae) by instrumental determination of CIE LAB values [J]. J. Roy. Soc. New Zealand, 1990, 20(3):253-259.

Smith T, Guild J. The C.I.E. Colorimetric standards and their use [J]. Trans. Opt. Soc., 1931, 33(3):73-134.

Luan X Y, Liu T Z. The optimizing design for LED color mixing based on artificial fish swarm algorithm[C]//26th CCDC, Changsha: IEEE, 2014:3093-3097.

Li D S, Zu L, Zhang Y C, et al. Evaluation of reliability for LED lamp based on fuzzy algorithm [J]. Opt. Precision Eng.(光学精密工程), 2012, 20(12):2661-2666 (in Chinese).

Tizhoosh H R. Opposition-based reinforcement learning [J]. J. Adv. Comput. Intell. Info., 2006, 10:579-586.

Stigler M. A modest proposal: A new standard for the normal [J]. Am. Statist., 1982, 36:137-138.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于果蝇优化算法的三维LED光源阵列优化设计

热电制冷LED自然对流散热的设计与优化