Thermal optics property study and athermal design on optical window of IR aiming device reliability testing system

With the development of deep space exploration technology, thermal control systems for space telescopes are becoming increasingly complex, leading to the key parameters of conventional thermal control systems are difficult to adjust online automatically. To achieve these adjustments, this paper provided detailed verification of the application of deep reinforcement learning to space telescope thermal control from three perspectives: thermophysical modelling, intelligent sensing-based radiator, and online self-tuning of thermal control parameters. The paper presents a high-speed and high-precision thermophysical modelling strategy in MATLAB/SIMULINK with better computational efficiency than conventional approaches. And an intelligent sensing-based radiator is proposed that can realize autonomous regulation of the radiating cold plate by sensing the external space environment and the thermal load inside the spacecraft. A strategy for online self-tuning of the thermal control parameters based on deep reinforcement learning is also proposed. Theoretical and experimental results show that deep reinforcement learning thermal control (DRLPID) can achieve temperature control accuracy of 0.05°C. The steady-state errors in the simulations were reduced by 22.7%, 37.4%, and 47.4% when compared with the reinforcement learning proportional-integral-derivative (PID), the neural network PID and the fuzzy PID, respectively. The experimental steady-state errors were reduced by 20.4%, 32.5% and 42.7%, respectively.

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Ambient temperature effect on the imaging quality of an aspherical airborne camera: theoretical and experimental analysis

Tian

Lin

et al. 2021

Appl. Opt.

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The ambient temperature is one of the important factors that affects the imaging quality of aspherical airborne camera. In order to evaluate the imaging quality of an airborne camera under the effect of ambient temperature and predict the influence of the ambient temperature on the modulation transfer function (MTF) of the airborne camera, on the basis of the imaging principle and the material properties of lenses of the airborne camera, this study integrates theoretical analysis, simulation analysis, and experimental tests to study the influence of ambient temperature on the imaging performance of airborne cameras. The imaging performance of an airborne camera is characterized by using the MTF. First, a mathematical model is presented to analyze the effect of ambient temperature on the MTF of the airborne camera. Then the simulation analysis and experiment tests are, respectively, proposed. The results of the mathematical model are compared, respectively, with the results of the simulation analysis and experimental test, and the comparison shows that the variation trends of the mathematical model results are in line with the simulation results and the experimental results, respectively. Therefore, the mathematical model presented in this study is effective for analyzing the influence of ambient temperature variation on the MTF of airborne cameras.

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Thermal optics property study and athermal design on optical window of IR aiming device reliability testing system

Cited by 5 publications

References 4 publications

Reliability analysis of free space optical communication link considering the effects of laser diode chirping

Reliability analysis of free space optical communication link considering the effects of laser diode chirping

Application of Deep Reinforcement Learning to Thermal Control of Space Telescope

Ambient temperature effect on the imaging quality of an aspherical airborne camera: theoretical and experimental analysis

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