• Infrared Technology
  • Vol. 42, Issue 9, 863 (2020)
Yongqiu LIU1 and Zhongqing JIN2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    LIU Yongqiu, JIN Zhongqing. Simulation of Air Vehicle Motion Control Models and Infrared Images[J]. Infrared Technology, 2020, 42(9): 863 Copy Citation Text show less

    Abstract

    The generation of infrared (IR) images of air vehicles in real time during flight is very important for research on the IR characteristics of air vehicles. The velocity, altitude, and attitude of air vehicles vary during flight. Moreover, the air vehicle body is affected by environmental and background radiation. Hence, it is very difficult to obtain an accurate temperature distribution of the air vehicle body. Because the temperature distribution is related to the state of motion, control models that determine the attitude and velocity are established, along with the surface heat balance equations. The adiabatic wall temperature distribution is solved by computational fluid dynamics, and simplified altitude algorithms are obtained. Finally, IR images of the air vehicle in different bands and at different altitudes and velocities are simulated.
    LIU Yongqiu, JIN Zhongqing. Simulation of Air Vehicle Motion Control Models and Infrared Images[J]. Infrared Technology, 2020, 42(9): 863
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