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Design, Development, and Testing of a UAV Hardware-in-the-Loop testbed for Aviation and Airspace Prognostics Research

机译:用于航空和空域预测研究的无人机在环测试平台的设计,开发和测试

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The airspace is becoming more and more complicated, and will continue to do so in the future with the integration of Unmanned Aerial Vehicles (UAVs), autonomy, spacecraft, other forms of aviation technology into the airspace. The new technology and complexity increases the importance and difficulty of safety assurance. Additionally, testing new technologies on complex aviation systems & systems of systems can be very difficult, expensive, and sometimes unsafe in real life scenarios. Prognostic methodology provides an estimate of the health and risks of a component, vehicle, or airspace and knowledge of how that will change over time. That measure is especially useful in safety determination, mission planning, and maintenance scheduling. The developed testbed will be used to validate prediction algorithms for the real-time safety monitoring of the National Airspace System (NAS) and the prediction of unsafe events. The framework injects flight related anomalies related to ground systems, routing, airport congestion, etc. to test and verify algorithms for NAS safety. In our research work, we develop a live, distributed, hardware-in-the-loop testbed for aviation and airspace prognostics along with exploring further research possibilities to verify and validate future algorithms for NAS safety. The testbed integrates virtual aircraft using the X-Plane simulator and X-PlaneConnect toolbox, UAVs using onboard sensors and cellular communications, and hardware in the loop components. In addition, the testbed includes an additional research framework to support and simplify future research activities. It enables safe, accurate, and inexpensive experimentation and research into airspace and vehicle prognosis that would not have been possible otherwise. This paper describes the design, development, and testing of this system. Software reliability, safety and latency are some of the critical design considerations in development of the testbed. Integration of HITL elements in the development phases and verification/ validation are key elements to this effort.
机译:空域变得越来越复杂,并且在未来,随着无人飞行器(UAV),自治,航天器以及其他形式的航空技术的集成,空域将继续这样做。新技术和复杂性增加了安全保证的重要性和难度。此外,在现实生活中,在复杂的航空系统和系统系统上测试新技术可能非常困难,昂贵且有时不安全。预后方法可估算组件,车辆或空域的健康状况和风险,并了解其随时间变化的方式。该措施在安全确定,任务计划和维护计划中特别有用。开发的测试平台将用于验证用于国家空域系统(NAS)的实时安全监控和不安全事件的预测的预测算法。该框架注入与地面系统,航线,机场拥堵等相关的与飞行有关的异常情况,以测试和验证NAS安全性的算法。在我们的研究工作中,我们为航空和空域预测开发了一个实时的,分布式的,在环硬件测试平台,并探索了进一步的研究可能性,以验证和验证未来的NAS安全算法。该测试平台使用X-Plane仿真器和X-PlaneConnect工具箱集成了虚拟飞机,使用机载传感器和蜂窝通信的无人机集成了硬件,并在环路组件中集成了硬件。此外,测试平台还包括一个额外的研究框架,以支持和简化未来的研究活动。它可以对空域和车辆预后进行安全,准确和廉价的实验和研究,而这在其他情况下是不可能的。本文介绍了该系统的设计,开发和测试。软件可靠性,安全性和延迟是测试平台开发中的一些关键设计考虑因素。 HITL要素在开发阶段的集成以及验证/确认是这项工作的关键要素。

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