• Infrared and Laser Engineering
  • Vol. 50, Issue 8, 20210053 (2021)
Lingyun Wang1、2, Guangxi Li1, Yue Ma1, Ru Zheng1、2, Xiao Liu1, Haoyang Li1, and Yuxin Du3
Author Affiliations
  • 1School of Opto-electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • 2Science and Technology High-precision Optoelectronic Measurements Industry Technology Research and Development Center of Changchun City, Changchun 130022, China
  • 3Changchun Railway Vehicles Co., LTD., Changchun 130062, China
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    DOI: 10.3788/IRLA20210053 Cite this Article
    Lingyun Wang, Guangxi Li, Yue Ma, Ru Zheng, Xiao Liu, Haoyang Li, Yuxin Du. Study on simulation technology of multi-color temperature and multi-magnitude starlight source[J]. Infrared and Laser Engineering, 2021, 50(8): 20210053 Copy Citation Text show less
    System composition diagram
    Fig. 1. System composition diagram
    Integrating sphere structure diagram
    Fig. 2. Integrating sphere structure diagram
    Spectral radiance curve of bromine tungsten lamp
    Fig. 3. Spectral radiance curve of bromine tungsten lamp
    Spectral curve of selected LED
    Fig. 4. Spectral curve of selected LED
    Illuminance formed by the surface light source on the surface at the distance r
    Fig. 5. Illuminance formed by the surface light source on the surface at the distance r
    LED constant current drive circuit
    Fig. 6. LED constant current drive circuit
    Convergence graph of simulated color temperature 5 500 K
    Fig. 7. Convergence graph of simulated color temperature 5 500 K
    Simulation results of 5 500 K color temperature
    Fig. 8. Simulation results of 5 500 K color temperature
    Experiment site of star simulator light source simulation
    Fig. 9. Experiment site of star simulator light source simulation
    Software control interface
    Fig. 10. Software control interface
    Spectral fitting curve of 5 500 K color temperature for 2nd magnitude sta
    Fig. 11. Spectral fitting curve of 5 500 K color temperature for 2nd magnitude sta
    Color temperature magnitude 3 000 K/ (W/m2) 4 300 K/ (W/m2) 5 500 K/ (W/m2) 6 500 K/ (W/m2) 7 600 K/ (W/m2) 20 000 K/ (W/m2)
    +2Mi4.29×10−92.81×10−92.47×10−92.36×10−92.32×10−92.37×10−9
    +3Mi1.71×10−91.12×10−99.82×10−109.40×10−109.22×10−109.42×10−10
    +4Mi6.79×10−104.46×10−103.91×10−103.74×10−103.67×10−103.75×10−10
    +5Mi2.70×10−101.77×10−101.56×10−101.49×10−101.46×10−101.49×10−10
    +6Mi1.08×10−107.06×10−116.20×10−115.93×10−115.82×10−115.95×10−11
    +7Mi4.28×10−112.81×10−112.47×10−112.36×10−112.32×10−112.37×10−11
    +8.5Mi1.08×10−117.06×10−126.21×10−125.92×10−125.81×10−125.94×10−12
    Table 1. Irradiance at the exit of the collimator
    Color temperature magnitude 3 000 K /W/(m2·sr) 4 300 K /W/(m2·sr) 5 500 K /W/(m2·sr) 6 500 K /W/(m2·sr) 7 600 K /W/(m2·sr) 20 000 K /W/(m2·sr)
    +2Mi307.31201.29176.93169.05166.19169.77
    +3Mi122.4980.2370.3467.3366.0567.48
    +4Mi48.6431.9528.0126.7926.2926.86
    +5Mi19.3412.6811.1810.6710.4610.67
    +6Mi7.715.064.444.254.174.26
    +7Mi3.072.011.771.691.661.70
    +8.5Mi0.7740.5060.4450.4240.4160.426
    Table 2. Radiance at the exit of the integrating sphere
    NumberAlgorithmAdvantagesDisadvantages
    1Genetic algorithmMain steps of the genetic algorithm include selection, crossover and mutation. It can be seen that the algorithm has a simple structure, does not rely on complex models, and has no requirements on the continuity and differentiability of the objective function It has the local search ability, but the global search ability is not strong, and it is easy to fall into the local optimal
    2Ant colony algorithmResults obtained by ant colony algorithm do not depend on the choice of the initial route, and its parameters are few, the setting is simple and easy to be combined with other algorithms There is no clear theoretical basis for the parameter setting of ant colony algorithm, most of which is determined by experience and experiment
    3Quantum particle swarm optimizationGlobal convergence is good, the global search ability is strong, the particle position is random, will not fall into the global optimal solution, the algorithm itself execution time is shortDifficulty in parameter selection
    4Least square methodCalculation is simple and easy to be realized by simple program of computer Least square method is a linear estimation with certain limitations and low optimization accuracy. In the process of regression, it is impossible for the correlation formula of regression to pass every regression data point
    5Simulated annealing algorithmCalculation process is simple, universal and has strong sculling ability. It is suitable for parallel processing and can be used to solve complex nonlinear optimization problems Algorithm convergence speed is slow, the running time is long, the algorithm performance is related to the initial value, the parameter is sensitive
    Table 3. Advantages and disadvantages of the five algorithms
    Magnitude color temperature +2Mi+3Mi+4Mi+5Mi+6Mi+7Mi+8.5Mi
    3 000 K2.40%2.25%2.53%2.08%2.17%2.82%3.87%
    4 300 K2.67%2.95%3.23%3.56%3.40%3.98%4.58%
    5 500 K3.51%3.96%4.54%4.82%5.40%5.93%6.14%
    6 500 K3.75%4.11%4.96%4.87%5.92%6.23%6.74%
    7 600 K3.65%4.56%5.03%5.45%6.33%6.87%7.10%
    20 000 K5.10%5.90%6.70%8.10%8.80%9.60%9.80%
    Table 4. Spectral matching error
    Color temperature magnitude 3 000 K/ W/(m2·sr) 4 300 K/ W/(m2·sr) 5 500 K/ W/(m2·sr) 6 500 K/ W/(m2·sr) 7 600 K/ W/(m2·sr) 20 000 K/ W/(m2·sr)
    +2Mi307.26200.05179.31167.12163.54167.49
    +3Mi123.2381.9869.0169.0364.6865.21
    +4Mi48.0230.5627.0126.0626.9227.77
    +5Mi19.8613.2211.6711.1010.0910.28
    +6Mi7.465.214.264.003.994.54
    +7Mi3.171.941.681.781.751.79
    +8.5Mi1.270.8440.6660.7110.6980.714
    Table 5. Measured radiance
    Color temperature magnitude 3 000 K/ W·(m2·sr) 4 300 K/ W/(m2·sr) 5 500 K/ W/(m2·sr) 6 500 K/ W/(m2·sr) 7 600 K/ W/(m2·sr) 20 000 K/ W/(m2·sr)
    +2Mi0.84%−0.97%1.31%−1.11%−1.48%−1.47%
    +3Mi1.00%2.22%−1.97%2.42%−2.15%−3.39%
    +4Mi−1.40%−4.2%−3.53%−2.76%2.35%3.23%
    +5Mi2.37%4.09%4.20%3.74%−3.90%−3.93%
    +6Mi−3.24%2.96%−4.05%4.25%4.17%4.26%
    +7Mi3.26%−3.48%−5.08%5.33%5.42%5.29%
    +8.5Mi4.10%5.24%−5.40%5.49%5.76%5.78%
    Table 6. Magnitude simulation accuracy
    TimeRadiation brightness /W/(m2·sr)
    9:0010.73
    10:0010.88
    11:0011.01
    12:0010.91
    13:0010.75
    14:0010.84
    Table 7. Radiance after 6 hours of continuous work
    Lingyun Wang, Guangxi Li, Yue Ma, Ru Zheng, Xiao Liu, Haoyang Li, Yuxin Du. Study on simulation technology of multi-color temperature and multi-magnitude starlight source[J]. Infrared and Laser Engineering, 2021, 50(8): 20210053
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