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An Approach to Mathematical Modeling and Estimation of Probe-Drogue Docking Success Probability for UAV Autonomous Aerial Refueling

机译:无人机自主空中加油的探空对接成功概率数学建模与估计方法

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摘要

One of the keys to the success of aerial refueling for probe-drogue aerial refueling system (PDARS) is the successful docking between the probe and drogue. The study of probe-drogue docking success probability offers an important support to achieving successful docking. During the docking phase of PDARS, based on prior information and reasonable assumptions for the movements of the drogue under atmospheric disturbance, the probe-drogue docking success probability is converted to the probability of the drogue center located in a specific area. A model of the probe-drogue docking success probability is established with and without actuation error, respectively. The curves of the probe-drogue docking success probability with the standard deviation of the drogue central position, the maximum distance from the drogue center position to the equilibrium position, the actuation error, and the standard deviation of the actuation error are obtained through simulations. The study has referential value for the docking maneuver decision of aerial refueling for PDARS.
机译:探空导弹空中加油系统(PDARS)成功进行空中加油的关键之一是探测器与锥套之间的成功对接。探测式对接成功概率的研究为成功对接提供了重要的支持。在PDARS的对接阶段中,基于先前的信息和对在大气干扰下锥套运动的合理假设,将探头-锥对接成功概率转换为锥套中心位于特定区域的概率。分别建立了有和没有致动误差的探头-对接成功概率模型。通过模拟获得了锥套对接成功概率与锥套中心位置的标准偏差,锥套中心位置到平衡位置的最大距离,致动误差和致动误差的标准偏差的曲线。该研究对PDARS空中加油对接决策具有参考价值。

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  • 来源
    《International journal of aerospace engineering》 |2017年第2期|6427209.1-6427209.14|共14页
  • 作者单位

    Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shaanxi, Peoples R China;

    Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China;

    Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shaanxi, Peoples R China;

    Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shaanxi, Peoples R China;

    Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 00:05:38

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