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无人机综合研究：航空电子系统的深入分析

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems.

作者信息

Osmani Khaled, Schulz Detlef

机构信息

Department of Electrical Engineering, Helmut Schmidt University, 22043 Hamburg, Germany.

出版信息

Sensors (Basel). 2024 May 11;24(10):3064. doi: 10.3390/s24103064.

DOI:10.3390/s24103064
PMID:38793917
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11125140/
Abstract

The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their extended applicability in diverse domains, including surveillance, commerce, military, and smart electric grid monitoring. Modern UAV avionics enable precise aircraft operations through autonomous navigation, obstacle identification, and collision prevention. The structures of avionics are generally complex, and thorough hierarchies and intricate connections exist in between. For a comprehensive understanding of a UAV design, this paper aims to assess and critically review the purpose-classified electronics hardware inside UAVs, each with the corresponding performance metrics thoroughly analyzed. This review includes an exploration of different algorithms used for data processing, flight control, surveillance, navigation, protection, and communication. Consequently, this paper enriches the knowledge base of UAVs, offering an informative background on various UAV design processes, particularly those related to electric smart grid applications. As a future work recommendation, an actual relevant project is openly discussed.

摘要

无人机（UAV）技术的不断发展使其在包括监视、商业、军事和智能电网监测在内的多个领域得到了更广泛的应用。现代无人机航空电子设备通过自主导航、障碍物识别和防撞功能实现精确的飞行操作。航空电子设备的结构通常很复杂，内部存在完善的层级结构和错综复杂的连接。为了全面了解无人机设计，本文旨在评估并严格审查无人机内部按用途分类的电子硬件，并对每个硬件的相应性能指标进行深入分析。本综述包括对用于数据处理、飞行控制、监视、导航、保护和通信的不同算法的探讨。因此，本文丰富了无人机的知识库，为各种无人机设计过程，特别是与智能电网应用相关的设计过程提供了有益的背景信息。作为未来工作的建议，本文公开讨论了一个实际相关项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/89445a600d1d/sensors-24-03064-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/5730d941b11b/sensors-24-03064-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/a274f669a27a/sensors-24-03064-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/f1d9687fd04a/sensors-24-03064-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/5c1fb9eb4fe2/sensors-24-03064-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/f1e5e7867359/sensors-24-03064-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/e4e9325155ce/sensors-24-03064-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/9e78ddd853e4/sensors-24-03064-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/89445a600d1d/sensors-24-03064-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/8bd3e316efaf/sensors-24-03064-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/7c0f79252bb5/sensors-24-03064-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/e2bdbb111890/sensors-24-03064-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/9ba37bd06585/sensors-24-03064-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/5730d941b11b/sensors-24-03064-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/a274f669a27a/sensors-24-03064-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/f1d9687fd04a/sensors-24-03064-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/5c1fb9eb4fe2/sensors-24-03064-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/f1e5e7867359/sensors-24-03064-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/e4e9325155ce/sensors-24-03064-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/9e78ddd853e4/sensors-24-03064-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20dc/11125140/89445a600d1d/sensors-24-03064-g012.jpg

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