Infrared and Laser Engineering, Volume. 50, Issue 8, 20210053(2021)

Study on simulation technology of multi-color temperature and multi-magnitude starlight source

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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    Figures & Tables(18)
    System composition diagram
    Integrating sphere structure diagram
    Spectral radiance curve of bromine tungsten lamp
    Spectral curve of selected LED
    Illuminance formed by the surface light source on the surface at the distance r
    LED constant current drive circuit
    Convergence graph of simulated color temperature 5 500 K
    Simulation results of 5 500 K color temperature
    Experiment site of star simulator light source simulation
    Software control interface
    Spectral fitting curve of 5 500 K color temperature for 2nd magnitude sta
    • Table 1. Irradiance at the exit of the collimator

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      Table 1. Irradiance at the exit of the collimator

      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 2. Radiance at the exit of the integrating sphere

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      Table 2. Radiance at the exit of the integrating sphere

      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 3. Advantages and disadvantages of the five algorithms

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      Table 3. Advantages and disadvantages of the five algorithms

      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 4. Spectral matching error

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      Table 4. Spectral matching error

      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 5. Measured radiance

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      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)
      +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 6. Magnitude simulation accuracy

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      Table 6. Magnitude simulation accuracy

      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 7. Radiance after 6 hours of continuous work

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      Table 7. Radiance after 6 hours of continuous work

      TimeRadiation brightness /W/(m2·sr)
      9:0010.73
      10:0010.88
      11:0011.01
      12:0010.91
      13:0010.75
      14:0010.84
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    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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    Paper Information

    Category: Optical design

    Received: Apr. 10, 2021

    Accepted: --

    Published Online: Nov. 2, 2021

    The Author Email:

    DOI:10.3788/IRLA20210053

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