通用航空低空飞行ADS-R冲突检测与解决算法

Chin-E. Lin, Chia-Jung Lee
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引用次数: 6

摘要

随着小型飞机运输系统(SATS)对通用航空(GA)使用空域的需求为航空运输提供替代方案,国家空域系统(NAS)将发生巨大变化。因此,通用飞机的避碰问题将成为航空安全中最受关注的问题。无人驾驶飞行器(UAV)的民用应用正在迅速发展。低空空域变得更加拥挤。遗传算法和无人机在二维和三维机动条件下需要多种冲突检测和解决方法。本文主要研究基于下一代ADS-R的遗传算法和无人机的高效避碰逻辑。在CD&R模型中,水平分辨率的航向变化更适合小型遗传算法或低空飞行的无人机。利用真实的超轻飞行数据进行了仿真,验证了该算法的性能和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADS-R conflict detection and resolution algorithm for general aviation in low altitude flights
The National Airspace System (NAS) will change dramatically when the demand of airspace used by general aviation (GA) as the Small Aircraft Transport System (SATS) provides alternative for air transport. As a result, collision avoidance for GA will become the most concern to aviation safety. The unmanned aerial vehicle (UAV) has rapidly growing into civilian applications. Low altitude airspace becomes more crowded. Varieties of conflict detection and resolution (CD&R) were required under two and three maneuvering dimensions for GA and UAV. This paper focuses on efficient collision avoidance logic for GA and UAV based on ADS-R for NextGen. Heading change of horizontal resolution is more suitable for small GA or UAV flying in low altitude in the proposed CD&R model. Simulations using real ultralight flight data are tested to verify the performance and efficiency of the proposed algorithm.
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