基于多因素融合建模下无人机航行环境评估方法

The Method Based on Several Factors Mixed Models of Unmanned Aerial Vehicle Navigational Conditions Evaluation

当前无人机(unmanned aerial vehicle,UAV)任务路径的研究已日益广泛。现实环境中执飞空域将由多机种多机型共同参与,针对无人机间,以及与载人运输机间的航行环境分析及空域密度评估,还处于研究初级阶段。为正确分析大型无人机在复杂区域内执行任务对航行环境的影响,综合考虑尺寸与性能数据、空域结构、空中交通服务和飞行技术安全等因素,首次建立多种因素融合下的无人机航行环境评估模型,并获取量化评估结果。计算结果表明:通过分析模型计算得出航空器间最小距离,可为制定航路航线间隔,判断空域密度等问题提供数据参考。为未来低空空域开放,实现载人运输机和无人机安全、协同飞行创造条件。

Now the research on unmanned aerial vehicle( UAV) mission path has been increasingly extensive.In the real airspace environment,the flight airspace will be jointly participated by multiple types and models,the evaluation of navigational conditions and airspace density of between UAVs,UAVs and manned transport aircraft,it is still at the initial stage of research. In order to correctly analyze the impact of large UAVs performing missions in complex areas on the navigational condition,taking into account factors such as aircraft size,performance parameters,airspace structure,air traffic service and flight technical safety,the first time established the UAV navigational conditions evaluation based on several factors mixed models,and obtained the quantifiable assessment results. The calculation results show that: through analyzing and calculating the model,can be obtained the minimum distance between aircraft,it provides data reference for making route interval and judging airspace density. For the future opening of low-altitude airspace,the realization of safe and cooperative flight between manned transport aircraft and UAVs creates conditions.