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Design and Development of a High-Speed UAS for beyond Visual Line-of-Sight Operations
Journal of Intelligent & Robotic Systems ( IF 3.1 ) Pub Date : 2021-01-22 , DOI: 10.1007/s10846-020-01300-2
Matthew H. McCrink , James W. Gregory

This paper provides details on best practices for vehicle design for BVLOS missions, with a focus on robust control links and real-time health monitoring.The development work presented herein focuses on a specific mission to set the speed and distance world record for a fully autonomous vehicle, requiring development of analytic tools for estimating vehicle range and endurance, as well as models for predicting command and control link integrity while operating BVLOS. Range and endurance estimates are developed using a novel real-time system identification algorithm onboard the vehicle for aerodynamic parameter estimation, and propulsion system characterization. Flight-testing methods and results are presented demonstrating the capabilities of these algorithms, with results from a unique test-case involving an unintended fault during the record flight. In addition to the vehicle performance assessment, Friis-based models are introduced to provide a pseudo real-time communications link range assessment. The predictive communications range models were refined using specific antenna and system characterization data measured in a compact range facility resulting in a detailed link budget useful for addressing BVLOS command and control requirements. The combination of aircraft and radio-frequency performance prediction models with supporting flight-testing techniques applied to small unmanned aerial systems provides critical insight into the design of future vehicles, and validation of existing systems tasked with performing BVLOS missions.



中文翻译:

超越视野范围的高速UAS的设计和开发

本文详细介绍了BVLOS任务的车辆设计最佳实践,重点是鲁棒的控制链接和实时健康状况监视。本文介绍的开发工作着重于特定任务,以设置全自动驾驶的速度和距离世界纪录车辆,需要开发用于估计车辆行驶距离和续航能力的分析工具,以及用于在操作BVLOS时预测命令和控制链路完整性的模型。使用新型实时系统识别算法对车辆进行续航里程和续航力估算,以进行空气动力学参数估算和推进系统表征。展示了飞行测试方法和结果,证明了这些算法的功能,记录飞行过程中涉及意外故障的独特测试用例的结果。除了车辆性能评估之外,还引入了基于Friis的模型,以提供伪实时通信链路范围评估。使用在紧凑范围设施中测量的特定天线和系统特性数据,完善了预测性通信范围模型,从而得出了详细的链路预算,可用于满足BVLOS的命令和控制要求。飞机和射频性能预测模型与应用于小型无人机系统的支持飞行测试技术的结合,为未来车辆的设计以及执行BVLOS任务的现有系统的验证提供了重要的见识。引入了基于Friis的模型,以提供伪实时通信链路范围评估。使用在紧凑范围设施中测量的特定天线和系统特性数据,完善了预测性通信范围模型,从而得出了详细的链路预算,可用于满足BVLOS的命令和控制要求。飞机和射频性能预测模型与应用于小型无人机系统的支持飞行测试技术的结合,为未来车辆的设计以及执行BVLOS任务的现有系统的验证提供了重要的见识。引入了基于Friis的模型,以提供伪实时通信链路范围评估。使用在紧凑范围设施中测量的特定天线和系统特性数据,完善了预测性通信范围模型,从而得出了详细的链路预算,可用于满足BVLOS的命令和控制要求。飞机和射频性能预测模型与应用于小型无人机系统的支持飞行测试技术的结合,为未来车辆的设计以及执行BVLOS任务的现有系统的验证提供了重要的见识。使用在紧凑范围设施中测量的特定天线和系统特性数据,完善了预测性通信范围模型,从而得出了详细的链路预算,可用于满足BVLOS的命令和控制要求。飞机和射频性能预测模型与应用于小型无人机系统的支持飞行测试技术的结合,为未来车辆的设计以及执行BVLOS任务的现有系统的验证提供了重要的见识。使用在紧凑范围设施中测量的特定天线和系统特性数据,完善了预测性通信范围模型,从而得出了详细的链路预算,可用于满足BVLOS的命令和控制要求。飞机和射频性能预测模型与应用于小型无人机系统的支持飞行测试技术的结合,为未来车辆的设计以及执行BVLOS任务的现有系统的验证提供了重要的见识。

更新日期:2021-01-22
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