Research on Collision Risk Between Light Unmanned Arial Vehicles and Aircraft Windshield
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Abstract:
With the increasing unmanned aerial vehicles (UAVs) applications, quite a few major aviation incidents and dangerous symptoms have occurred in the vicinity of the airport and the airspace, and air transportation safety is facing a huge potential threat from unorder flight of UAVs. An important aspect regarding the collision risk between a typical UAV and the windshield of a commercial aircraft is investigated. The damage classification and corresponding impact energy range considering the weakest area on the aircraft windshield are obtained via finite element simulation under the most severe condition. According to the simulation results, the damage severity rank can be classified conservatively. In the absence of intervention from air traffic control, Monte Carlo simulation is performed to obtain the collision probability between a UAV and an aircraft with their independent motions by considering the joint constraints of the minimum horizontal safety separation, the minimum lateral safety separation, and the minimum vertical safety separation. In addition, the collision probability levels are also estimated. Based on various combinations of damage severity classifications and collision probability levels, a more conservative qualitative risk matrix is defined regarding collision between a UAV and an aircraft windshield. In general, the results indicate that the collision risk and damage severity are low when the UAV and the aircraft are flying at the height of less than 120 m and a distance of over 3 600 m on the condition of a typical heading angle and a pitch angle, otherwise these factors become serious. This investigation would provide a theoretical basis and practical reference for the normative design and manufacture of UAVs, the policy formulation by authorities on UAV operation control, as well as the risk assessment of UAVs and manned aircraft operating in the same airspace.
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This work was supported by the National Natural Science Foundation of China (No.71971114).
ZHANG Zhuguo, LU Xiaohua, ZHANG Yingchun, LI Yulong, ZHANG Honghai. Research on Collision Risk Between Light Unmanned Arial Vehicles and Aircraft Windshield[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2023,(5):534-546