GreatBlue:55 磅垂直起降固定翼科学无人机系统;系统、通信、模拟、数据处理、有效载荷、包裹交付和任务飞行性能

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Calvin Coopmans, Stockton Slack, Nathan Schwemmer, Chase Vance, A. J. Beckwith, Daniel J. Robinson
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引用次数: 0

摘要

随着小型无人驾驶系统 (sUAS) 的普及和数量的增加,越来越大的无人驾驶飞机将变得越来越常见,甚至达到美国联邦航空局规定的 55 磅起飞总重 (GTOW) 或更高的限制。由于具有更大的有效载荷能力、更长的飞行时间和更好的安全系统,能够最大限度地满足 CFR 14 107 部无人机飞行操作规定的自主系统将变得越来越普遍,特别是在图像或其他数据收集等操作方面,这些操作可以通过更长的飞行时间和更大的飞行区域进行扩展。在这篇新论文中,介绍了一种独特的全电动 55 磅 VTOL 过渡固定翼无人机系统,该系统专门设计用于科学数据收集,命名为 "GreatBlue",同时还介绍了系统、通信、科学有效载荷、数据收集和处理、包裹递送有效载荷、地面控制站和任务模拟系统。独特的 GreatBlue 系统能够在收集多光谱遥感图像的同时飞行长达 2.5 小时,展示了一个包裹投递飞行示例,还展示了在加利福尼亚杏仁田和犹他州水库上空进行的两次科学数据收集飞行的飞行数据,包括飞行计划与实际飞行的对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GreatBlue: a 55-Pound Vertical-Takeoff-and-Landing Fixed-Wing sUAS for Science; Systems, Communication, Simulation, Data Processing, Payloads, Package Delivery, and Mission Flight Performance

As small, uncrewed systems (sUAS) grow in popularity and in number, larger and larger drone aircraft will become more common–up to the FAA limit of 55 pound gross take-off weight (GTOW) and beyond. Due to their larger payload capabilities, longer flight time, and better safety systems, autonomous systems that maximize CFR 14 Part 107 flight drone operations regulations will become more common, especially for operations such as imagery or other data collection which scale well with longer flight times and larger flight areas. In this new paper, a unique all-electric 55-pound VTOL transition fixed-wing sUAS specifically engineered for scientific data collection named “GreatBlue” is presented, along with systems, communications, scientific payload, data collection and processing, package delivery payload, ground control station, and mission simulation system. Able to fly for up to 2.5 hours while collecting multispectral remotely-sensed imagery, the unique GreatBlue system is shown, along with a package delivery flight example, flight data from two scientific data collection flights over California almond fields and a Utah Reservoir are shown including flight plan vs. as-flown.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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