Journal of Infrared and Millimeter Waves, Volume. 44, Issue 3, 394(2025)
Study on correlation of thermal model to in-orbit data for infrared optical payloads on FY-3E/HIRAS-II
Figures & Tables(15)
Fig. 1. Model of FY-3E/HIRAS-II：（a）physical model and thermal control measures； （b）distribution of internal components and measuring point of baseplate； （c）mesh of the thermal model for FY-3E/HIRAS-II
Fig. 4. Spearman coefficient of parameters:：（a）interferometer ；（b）baseplate-1； （c）baseplate-2
Fig. 5. Correlation result of cold case for FY-3E/HIRAS-II:：（a）temperature cloud map ；（b）correlation results of temperature comparison ；（c）absolute error
Fig. 6. Correlation result of hot case for FY-3E/HIRAS-II：(a) temperature cloud map; (b) correlation results of temperature comparison ;(c)Absolute error
Table 1. Summary of the relevant research
View tableView in ArticleTable 1. Summary of the relevant research
Researchers Method Effect Project Number of parameters Beck et al.［ 6 ］APSO （Adaptive Particle Swarm Optimization） Error from 4.2 °C±3.2 °C Bepi Colombo laser altimeter （BELA）receiver baffle structural 10 Anglada et al.［ 7 -8 ］Gradient-based methods Error from 8.71 °C to below 0.31 °C International space station 6 Kim et al.［ 9 ］Pure thermal methods for modifying thermal resistance， surface properties， and thermal loads Error more than 80 % of components below 3K A 6U nanosatellite of SNIPE （Small scale magNetospheric and Ionospheric Plasma Experiment）mission 20 Shin et al.［ 10 ］Surrogate modeling of DNN （Deep Neural Network）and RBF （Radial Basis Function） Error within 5 K A typical spacecraft 95 Li et al.［ 11 ］Kriging surrogate model Error from 4.07 K to 1.22 K by 70.0% A battery pack 5 Cui et al.［ 12 ］Kriging surrogate model Error from 3.55 K to 1.11 K A solar spectrometer 15
Table 2. The boundary conditions for the two cases
View tableView in ArticleTable 2. The boundary conditions for the two cases
Case Optics temperature Date Satellite platform temperature Laser temperature Radiator temperature Cold 10 ℃ 2021.10.16 0 ℃ 35 ℃ -63 ℃ Hot 20 ℃ 2022.9.16 30 ℃ 45 ℃ -50 ℃
Table 3. Measures to control temperature
View tableView in ArticleTable 3. Measures to control temperature
Measures Method Position Purpose Surface treatment OSR （Optical Solar Reflector） OSR panel To promptly dissipate excess heat from the interior and make efficient use of the cold space background. S781 white paint +Z and -Y surfaces of the motor controller and the +X side of the fins Wrap MLI （Multi-Layer Insulation） PI （polyimide）second surface mirrors as the outermost layer （named MLI-1） The surface of shell except +X To mitigate the impact of external heat flux， primarily from solar radiation. Carburized black membrane （named MLI-2） The outer surface of the interferometer， laser， and main optics Insulation installation 4 installation feet are connected by TC4 （a kind of titanium alloy）isolation springs， and an 8mm thick insulation gasket of PI. Between the baseplate and satellite The payload is in contact with two thermal platforms： the satellite platform at normal temperature， and the radiator at a low temperature. In order to minimize their impact on the payload. 6 installation feet are connected to the fire lock， and there is a 3mm insulation gasket of PI. Blackening treatment Black anodizing treatment The interferometer， scanning motor and the surface of shell To reduce the influence of stray light. Thermal homogeneity High thermal conductivity graphite sheets The outer surface of the interferometer To maintain the temperature of the internal lenses of the interferometer at the same level and temperature gradients.
Table 4. Parameters to be correlated - thermal radiation
View tableView in ArticleTable 4. Parameters to be correlated - thermal radiation
Material εH Name Initial value Range Name Initial value Range MLI-1 ε1 0.65 ［0.62，0.72］ 0.35 ［0.3，0.55］ MLI-2 ε2 0.88 ［0.8，0.9］ 0.93 ［0.9，0.95］ S781 white paint ε3 0.87 ［0.81，0.93］ 0.17 ［0.11，0.4］ OSR ε4 0.8 ［0.76，0.88］ 0.16 ［0.08，0.3］ Black anodizing ε5 0.9 ［0.88，0.98］ 0.96 ［0.86，0.96］ PCB surface ε6 0.9 ［0.81，0.95］ / / /
Table 5. Parameters to be correlated - thermal conduction
View tableView in ArticleTable 5. Parameters to be correlated - thermal conduction
Conductive components Parameters Name Initial value Range Between laser controller and baseplate h（W/（m2·K）） h1 3000 ［2000，4000］ Between interferometer and substrate h2 300 ［100，600］ Between parts of interferometer h3 500 ［300，1000］ Between MLI and components be warped h4 0.05 ［0.03，0.09］ Between laser base and substrate h5 100 ［50，400］ Between shell and baseplate h6 100 ［50，400］ Between OSR and roof h7 100 ［50，400］ Between motor and fin h8 100 ［50，400］ Other dry contacts h9~ h21 100 ［50，400］ Between laser and laser base r
（K/W）
r1 20 ［ 5 ，50］Isolation springs r2 500 ［50，600］ Fire lock r3 20 ［ 5 ，25 ］Between shell and radiator r4 20 ［ 5 ，25 ］
Table 6. Parameters to be correlated - Heat consumption
View tableView in ArticleTable 6. Parameters to be correlated - Heat consumption
Heating Components Name Initial value /W Range/W Motor controller q1 12 ［ 10 ，14 ］Laser controller q2 14 ［ 12 ，14 ］Data transmission q3 1.4 ［ 1 ，3 ］Scanning motor q4 4.6 ［ 2 ，5 ］
Table 7. The actual heating output of the thin heating elements in orbit
View tableView in ArticleTable 7. The actual heating output of the thin heating elements in orbit
Component be heated Actual heating power/W 10 ℃ case 20 ℃ case Baseplate-1 10.49 16.74 Baseplate-2 2.81 3.88 Interferometer -1 0.15 0.31 Interferometer -3 0.05 0.15 Moving mirror 1 1 Data collector 9 9 Front box 15.9 15.9
Table 8. Results of surrogate model
View tableView in ArticleTable 8. Results of surrogate model
Evaluating indicator Result Time for training 33 min53 s Time for single calculate less than 0.1 s MSE of test data set 0.188 Average absolute prediction error 0.369 K
Table 9. Time-cost compared between ICP-TM and manual correlation
View tableView in ArticleTable 9. Time-cost compared between ICP-TM and manual correlation
Method Process Time-cost of single process Total time-cost Manual Manual correlation About 3 months About 3 months ICP-TM Iterative simulation of 384 data set About 7 days with 3 computers In 8 days Build Kriging surrogate model In 34 min Adaptive optimization In 1 min
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Yu-Han LI, Bao-Yu YANG, Qiang ZHANG, Zhi-Peng GUO, Yi-Nong WU, Xiao TANG, Shang-Ju LI. Study on correlation of thermal model to in-orbit data for infrared optical payloads on FY-3E/HIRAS-II[J]. Journal of Infrared and Millimeter Waves, 2025, 44(3): 394
Paper Information
Category: Infrared Spectroscopy and Remote Sensing Technology
Received: Aug. 17, 2024
Accepted: --
Published Online: Jul. 9, 2025
The Author Email: Bao-Yu YANG (byyang@mail.sitp.ac.cn)
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