利用光能提升轻于空气微型无人机的续航与导航能力
Exploiting Light To Enhance The Endurance and Navigation of Lighter-Than-Air Micro-Drones
AI总结：
本研究提出了一种利用光能进行能量收集和导航的紧凑型轻于空气微型无人机，通过高保真仿真框架、太阳能集成和点对点导航算法，实现了可持续的自主飞行和导航能力。
摘要：
微型无人驾驶航空器（UAVs）正迅速扩展到从库存管理到环境传感的任务中，但其短续航能力和在GPS拒止空间中不可靠的导航能力限制了部署。轻于空气（LTA）无人机提供了一种节能替代方案：它们使用氦气囊提供浮力，这使得在悬停时几乎不消耗电力，并能实现更长时间的操作。LTA具有前景，但其设计复杂，且缺乏集成解决方案以实现持续的自主操作和导航。我们提出了一种紧凑、自维持的LTA无人机，利用光能进行能量收集和导航。我们的贡献有三个方面：（i）一个高保真度的仿真框架用于分析LTA空气动力学并选择稳定高效的配置；（ii）一个将太阳能电池板集成到气囊上的框架以提供净正向能量；（iii）一个点对点导航系统，包含三种基于光的导航算法，这些算法在单一光 beacon 上运行。我们的LTA分析，结合集成的太阳能板，不仅在飞行中节省能量，还实现了可持续运行：在80klux的光照条件下，每4分钟的能量收集可提供1分钟的飞行时间。我们还展示了在室内和室外环境中，即使有中等风速，也能向距离可达7米的光源稳定导航。所获得的系统表明了一条通往室内和室外监控持续自主操作的可行路径。更广泛地说，这项工作为将LTA无人机的潜力转化为持续、自维持的空中系统提供了一条实用途径。
英文摘要：
Micro-Unmanned Aerial Vehicles (UAVs) are rapidly expanding into tasks from inventory to environmental sensing, yet their short endurance and unreliable navigation in GPS-denied spaces limit deployment. Lighter-Than-Air (LTA) drones offer an energy-efficient alternative: they use a helium envelope to provide buoyancy, which enables near-zero-power drain during hovering and much longer operation. LTAs are promising, but their design is complex, and they lack integrated solutions to enable sustained autonomous operations and navigation with simple, low-infrastructure. We propose a compact, self-sustaining LTA drone that uses light for both energy harvesting and navigation. Our contributions are threefold: (i) a high-fidelity simulation framework to analyze LTA aerodynamics and select a stable, efficient configuration; (ii) a framework to integrate solar cells on the envelope to provide net-positive energy; and (iii) a point-and-go navigation system with three light-seeking algorithms operating on a single light beacon. Our LTA-analysis, together with the integrated solar panels, not only saves energy while flying, but also enables sustainable operation: providing 1 minute of flying time for every 4 minutes of energy harvesting, under illuminations of 80klux. We also demonstrate robust single-beacon navigation towards a light source that can be up to 7m away, in indoor and outdoor environments, even with moderate winds. The resulting system indicates a plausible path toward persistent, autonomous operation for indoor and outdoor monitoring. More broadly, this work provides a practical pathway for translating the promise of LTA drones into a persistent, self-sustaining aerial system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
