期刊文献+

基于改进粒子群算法的LED光源阵列优化 被引量:6

Optimization of LED light source array based on improved particle swarm algorithm
下载PDF
导出
摘要 为了提高发光二极管(light emitting diode,LED)光源阵列的光照均匀度,提出一种改进粒子群算法和新型等差LED阵列排布方式。根据光照分布模型建立了照射面的光照均匀度评价函数,使用改进的粒子群算法对新型等差LED阵列、矩形及圆形阵列进行优化。将优化后的LED阵列数据导入光学软件TracePro中进行仿真验证,得到优化后等差、矩形及圆形LED阵列的光照均匀度分别为82.89%、73.31%及78.56%,比优化前LED阵列的光照均匀度分别提高了15.84%、10.65%及15.57%。研究结果表明,改进后的粒子群算法收敛速度更快、精度更高,且提出的新型等差LED阵列有着更好的光照均匀度。 In order to improve the illumination uniformity of the light emitting diode(LED)light source array,an improved particle swarm algorithm and a new arithmetic LED array arrangement method were proposed.According to the illumination distribution model,the illumination uniformity evaluation function of the illuminated surface was established,and the improved particle swarm algorithm was used to optimize the new arithmetic,rectangular and circular LED arrays.The data of the optimized LED array was imported into the optical software TracePro for simulation and verification,and the illumination uniformity of the optimized arithmetic,rectangular and circular LED arrays was 82.89%,73.31%and 78.56%,respectively,which was 15.84%,10.65%,and 15.57%higher than the illumination uniformity of the LED array before optimization.The research results show that the improved particle swarm algorithm has faster convergence speed and higher convergence accuracy,and the proposed new arithmetic LED array has better illumination uniformity.
作者 明振兴 吕清花 明月 曾炜 吕辉 张杰 MING Zhenxing;LYU Qinghua;MING Yue;ZENG Wei;LYU Hui;ZHANG Jie(School of Science,Hubei University of Technology,Wuhan 430068,China;School of Economics and Management,Hubei University of Technology,Wuhan 430068,China;School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China)
出处 《应用光学》 CAS CSCD 北大核心 2022年第3期524-531,543,共9页 Journal of Applied Optics
基金 湖北省科技厅重点研发计划项目(2020BBB084) 湖北省科技厅国际科技合作计划项目(2021EHB018)。
关键词 改进粒子群算法 等差LED阵列 光照均匀度 TRACEPRO improved particle swarm algorithm arithmetic LED array illumination uniformity TracePro
  • 相关文献

参考文献7

二级参考文献74

共引文献233

同被引文献91

引证文献6

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部