红外探测系统对微型无人机作用距离的理论计算及试验

Theoretical calculation and experimental verification of the detection range of infrared detection systems for micro rotary-wing UAVs

  • 摘要: 为实现对低空微小型无人机的精准管控,需获得红外探测系统对无人机的作用距离,明确系统的探测能力边界。首先,考虑到远处无人机所成的像不能充满探测器单个像元,改进了红外探测系统对点目标作用距离的计算模型。然后,搭建试验测量系统,运用红外热像仪和多路测温仪,测量了不同持续飞行时间下的DJI AIR 2S无人机表面多个点的辐射温度和物理温度,得到了飞行中的无人机达到热平衡状态时的温度。接着,建立了无人机的三维几何模型,并基于蒙特卡洛法数值计算得到了无人机8 μm~14 μm波段的辐射强度。最后,采用所建立的作用距离计算模型,数值计算得到了热像仪对无人机的作用距离沿探测方向的空间分布。为验证理论计算的精度,试验测量了热像仪对DJI AIR 2S无人机的作用距离。对比数值计算与试验测量的作用距离,在相同探测方向下,两者之间的相对误差在10%以内。这表明作用距离计算模型和数值模拟的过程是合理、可信的。

     

    Abstract: To achieve precise regulation of low-altitude micro/miniature unmanned aerial vehicles (UAVs), it is essential to obtain the effective detection range of infrared detection systems against UAVs and define the boundaries of infrared systems detection capabilities. Firstly, considering that the UAV's image can not cover a single detector pixel, a theoretical model for calculating the detection range of infrared detection systems against point targets is improved. Secondly, an experimental measurement system is constructed, utilizing an infrared thermal imager and a multi-channel temperature tester to measure the radiative and physical temperatures at multiple surface points of the DJI Air 2S under varying continuous flight durations. These measurements enable the determination of the thermal equilibrium temperature of the UAV during flight. Thirdly, a three-dimensional geometric model of the UAV is developed, and the radiative intensity in the 8~14 μm wavelength band is numerically calculated using the Monte Carlo method. Finally, based on the established detection range model, the spatial distribution of the detection range for the thermal imager against the UAV is numerically simulated across different detection angles. To validate the theoretical results, experiments are conducted to measure the practical detection range. Comparing the detection ranges derived from numerical calculations and experimental measurements under identical viewing conditions, the relative error between them is within 10%. It demonstrates the rationality and reliability of both the detection range model and the numerical simulation methodology.

     

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