• Infrared and Laser Engineering
  • Vol. 49, Issue 8, 20190535 (2020)
Yue Zhang1, Yun Su1, Peng Gao2, Xu Wang3, Shikui Dong2, Xuemin Zhang1, and Hao Zhao1
Author Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 2Harbin Institute of Technology, Harbin 150001, China
  • 3Institute of Fluid Physics, Mianyang 621000, China
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    DOI: 10.3788/IRLA20190535 Cite this Article
    Yue Zhang, Yun Su, Peng Gao, Xu Wang, Shikui Dong, Xuemin Zhang, Hao Zhao. Visual monitoring method for atmospheric disturbance of moving objects[J]. Infrared and Laser Engineering, 2020, 49(8): 20190535 Copy Citation Text show less

    Abstract

    A method for visual monitoring atmospheric disturbance caused by flight of moving objects in the atmosphere was established, including three parts: light transmission in atmospheric disturbance, method of monitoring light deflection in atmospheric disturbance, and high-precision disturbance detection method. Firstly, starting from the analysis of the principle of light deflection caused by atmospheric disturbance, calculation methods of refractive index, refractive index gradient, and light deflection transmission were researched; Secondly, based on principle of Background Oriented Schlieren, method for analyzing the influence of various parameters on monitoring system performance was proposed; Finally, integral pixel search and sub-pixel location were used to form the high-precision detection method for detecting atmospheric disturbance. Related mathematical models for those three methods were established respectively and simulation analyses were developed respectively. The results show that this method provides an important method and way to visually monitor the interaction of spacecraft with the atmosphere during the process of returning to the atmosphere, landing deceleration, parachute power deployment, and passenger plane supersonic flight.The results of this paper provide an important method and approach to monitor atmospheric disturbance for optimizing aerodynamic shape.
    Yue Zhang, Yun Su, Peng Gao, Xu Wang, Shikui Dong, Xuemin Zhang, Hao Zhao. Visual monitoring method for atmospheric disturbance of moving objects[J]. Infrared and Laser Engineering, 2020, 49(8): 20190535
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