雷凤泽, 翟琳, 褚建新. 基于模拟退火-粒子群算法的卤素灯阵列照度均匀性研究[J]. 应用光学, 2015, 36(2): 227-234. DOI: 10.5768/JAO201536.0202003
引用本文: 雷凤泽, 翟琳, 褚建新. 基于模拟退火-粒子群算法的卤素灯阵列照度均匀性研究[J]. 应用光学, 2015, 36(2): 227-234. DOI: 10.5768/JAO201536.0202003
Lei Feng-ze, Zhai Lin, Chu Jian-xin. Illumination uniformity for halogen lamp arrays based on SA-PSO algorithm[J]. Journal of Applied Optics, 2015, 36(2): 227-234. DOI: 10.5768/JAO201536.0202003
Citation: Lei Feng-ze, Zhai Lin, Chu Jian-xin. Illumination uniformity for halogen lamp arrays based on SA-PSO algorithm[J]. Journal of Applied Optics, 2015, 36(2): 227-234. DOI: 10.5768/JAO201536.0202003

基于模拟退火-粒子群算法的卤素灯阵列照度均匀性研究

Illumination uniformity for halogen lamp arrays based on SA-PSO algorithm

  • 摘要: 光照均匀性问题是太阳模拟器照明系统的主要问题。针对目前卤素灯作为光源进行灯阵光照均匀性的阵列设计多采用理论计算的方法,复杂繁琐,不易施行的缺点,将数值优化方法应用于卤素灯阵列结构设计中,与单一的算法不同,模拟退火算法与粒子群算法相结合的方式,突破了单一算法的局限性,得到的结果更加良好,均匀性更佳。通过编程优化灯阵中每个灯的坐标,将最优结果导入光学仿真软件进行照度分析,实验数据显示,3种灯阵下的光照均匀度分别为91%、87%和91%,同等条件下的六边形灯阵的光照均匀度要比圆形的均匀度好,采用最优化方法,可使实验更加简单可行。

     

    Abstract: The uniformity of illumination is the main problem in the solar simulator system. At present, theoretical calculation has been used to design a lamp array which has uniform illumination; however, this method is too complicated to execute. Aiming at the deficiency,the numerical optimization method was applied to design the halogen lamp arrays in this paper. Different from the single optimization method, the simulated annealing (SA) algorithm and particle swarm optimization algorithm (PSO) algorithm were combined to optimize the lamp arrays, breaking through the limitation of single optimization method and achieving better result . By programming to optimize the coordinates of each lamp array, the optimal results were put into the illumination optical simulation software for analysis.The experimental data show that the uniformity of 3 kinds of lamp array are 91%, 87% and 91%,respectively; under the same conditions the uniformity of hexagonal lamp array is better than that of circular lamp array; and the experimental method is simple and feasible by utilizing the optimization method.

     

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