Development of model-embedded air data instrumentation and sensor integration for advanced unmanned aircraft

先进无人机模型嵌入式空气数据仪器和传感器集成的开发

• 批准号: 2895318
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2895318
• 关键词: Development; model; embedded; air; data

The global market for UAVs has been growing very rapidly, driving forward technology in automation, batteries, materials and measurement. However, one area in which technology appears to be lagging is in air data gathering: the development of probes and sensors which are robust enough to survive rough handling and environmental extremes, and which are capable of providing measurements of velocity, incidence, sideslip, and other critical parameters to the flight data computer. UAV airframers must currently select between large and heavy aircraft Pitot systems and low-quality and unreliable low-cost systems for the hobby market. The purpose of this project, therefore, is to develop the models and data assimilation techniques required to use air data sensors for the specific conditions uniquely experienced by UAVs, and to use these models in a coupled airframe-sensor optimization process to design the next generation of distributed, airframe-integrated air data sensors.

全球无人机市场一直在快速增长，推动了自动化、电池、材料和测量技术的发展。然而，技术似乎落后的一个领域是大气数据收集：探测器和传感器的开发，这些探测器和传感器足够坚固，能够经受住粗暴的操作和极端的环境，并能够向飞行数据计算机提供速度、迎角、侧滑和其他关键参数的测量。无人机制造商目前必须在大型和重型飞机皮托管系统和低质量和不可靠的低成本系统之间进行选择。因此，本项目的目的是开发模型和数据同化技术，需要使用空气数据传感器的特定条件下，独特的无人机，并使用这些模型在一个耦合的机身传感器优化过程中，设计下一代分布式，机身集成的空气数据传感器。