首页> 外文会议>AIAA infotech@aerospace conference;AIAA Sci'Tech forum >An Alternative UAS Classification and Analysis Approach for Integration into the National Airspace System
【24h】

An Alternative UAS Classification and Analysis Approach for Integration into the National Airspace System

机译:整合到国家空域系统中的替代性UAS分类和分析方法

获取原文

摘要

Unmanned aircraft systems (UAS) represent a disruptive technology for aviation within the United States and worldwide. Efforts have been made to develop regulations, policies, and guidance materials to minimize their impact while maintaining an equivalent or sufficient level of safety. A key challenge is that there is no one-size fits all model for UAS. Moreover, there is a variety of UAS operations proposed and ongoing where the traditional file-and-fly model is insufficient. The classification and categorization of UAS and their operations plays a key role in their integration into the National Airspace System (NAS). Current approaches, e.g. the FAA's Small UAS Aviation Rulemaking Committee, follow traditional schemes regarding size and weight of the aircraft, the airspace in which they fly, and line-of-sight (LOS) versus beyond LOS operations. An alternative approach must be considered. At Embry-Riddle Aeronautical University, a team of researchers is addressing this problem as part of NASA's UAS NAS Integration program. A survey of literature regarding UAS systems, UAS operations, and NextGen technologies impacting UAS operations was performed. Key differentiating parameters were analyzed using Qualify Function Deployment's House of Quality to determine the parameters having the greatest impact on safety and NAS integration. From the analysis, an expert system has been developed to map UAS system characteristics (e.g. weight, autonomy, redundancy, etc.) to operational requirements (e.g. airspace, LOS vs. BLOS, operator requirements, maximum distance to landing site, etc.). Likewise, the expert system can map a proposed UAS operation/mission description to UAS system requirements. This paper will present this research. Several straw-man test examples will be reviewed to highlight the performance of the system under realistic UAS system and operational configurations. Lessons learned and future work will be discussed to move toward a tool to assist regulators.
机译:无人机系统(UAS)代表了美国乃至全球航空业的颠覆性技术。已努力制定法规,政策和指导材料,以最大程度地减少其影响,同时保持同等或足够的安全级别。一个关键的挑战是,没有一种适合所有类型的UAS模型。此外,在传统的文件和飞行模型不足的情况下,已经提出并正在进行各种UAS操作。 UAS及其运行的分类和分类在将其集成到国家空域系统(NAS)中起着关键作用。当前的方法,例如美国联邦航空局的小型UAS航空规则制定委员会遵循有关飞机的尺寸和重量,其飞行的空域以及视线(LOS)与超越LOS操作的传统计划。必须考虑一种替代方法。在Embry-Riddle航空大学,一组研究人员正在解决这个问题,这是NASA的UAS NAS集成计划的一部分。对有关UAS系统,UAS操作和影响UAS操作的NextGen技术的文献进行了调查。使用Qualify Function Deployment的质量屋对关键的区分参数进行了分析,以确定对安全性和NAS集成影响最大的参数。通过分析,已开发出专家系统,以将UAS系统的特征(例如重量,自主权,冗余度等)映射到运行要求(例如空域,LOS与BLOS,操作员要求,到着陆点的最大距离等)。 。同样,专家系统可以将建议的UAS操作/任务描述映射到UAS系统要求。本文将介绍这项研究。将审查几个稻草人测试示例,以突出显示该系统在实际UAS系统和操作配置下的性能。将讨论汲取的经验教训和未来的工作,以朝着协助监管者的工具迈进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号