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实时控制无人机的综述。

A review on drones controlled in real-time.

作者信息

Kangunde Vemema, Jamisola Rodrigo S, Theophilus Emmanuel K

机构信息

BIUST, Palapye, Botswana.

出版信息

Int J Dyn Control. 2021;9(4):1832-1846. doi: 10.1007/s40435-020-00737-5. Epub 2021 Jan 5.

DOI:10.1007/s40435-020-00737-5
PMID:33425650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7785038/
Abstract

This paper presents related literature review on drones or unmanned aerial vehicles that are controlled in real-time. Systems in real-time control create more deterministic response such that tasks are guaranteed to be completed within a specified time. This system characteristic is very much desirable for drones that are now required to perform more sophisticated tasks. The reviewed materials presented were chosen to highlight drones that are controlled in real time, and to include technologies used in different applications of drones. Progress has been made in the development of highly maneuverable drones for applications such as monitoring, aerial mapping, military combat, agriculture, etc. The control of such highly maneuverable vehicles presents challenges such as real-time response, workload management, and complex control. This paper endeavours to discuss real-time aspects of drones control as well as possible implementation of real-time flight control system to enhance drones performance.

摘要

本文介绍了关于实时控制的无人机或无人驾驶飞行器的相关文献综述。实时控制系统能产生更具确定性的响应，从而保证任务在规定时间内完成。对于现在需要执行更复杂任务的无人机来说，这种系统特性非常理想。所呈现的综述材料旨在突出实时控制的无人机，并涵盖无人机不同应用中所使用的技术。在开发用于监测、航空测绘、军事作战、农业等应用的高机动性无人机方面已经取得了进展。控制这种高机动性飞行器面临着实时响应、工作量管理和复杂控制等挑战。本文致力于探讨无人机控制的实时方面以及实时飞行控制系统的可能实现方式，以提高无人机的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/c828af9c9859/40435_2020_737_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/c828af9c9859/40435_2020_737_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/16b296640681/40435_2020_737_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/e90d47ff5f71/40435_2020_737_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/88bcfb3db0fb/40435_2020_737_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/62fcbc24771d/40435_2020_737_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/3fa59a816d7a/40435_2020_737_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/7d42c83694de/40435_2020_737_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f931/7785038/fc5dd15f731b/40435_2020_737_Fig13_HTML.jpg
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Head Neck. 2019 Dec;41(12):4229-4233. doi: 10.1002/hed.25939. Epub 2019 Aug 30.
2
Research on Filtering Algorithm of MEMS Gyroscope Based on Information Fusion.基于信息融合的MEMS陀螺仪滤波算法研究
Sensors (Basel). 2019 Aug 15;19(16):3552. doi: 10.3390/s19163552.
3
Real-Time UAV Autonomous Localization Based on Smartphone Sensors.
Int J Environ Res Public Health. 2021 Apr 26;18(9):4580. doi: 10.3390/ijerph18094580.
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Sensors (Basel). 2018 Nov 27;18(12):4161. doi: 10.3390/s18124161.
4
Adapting open-source drone autopilots for real-time iceberg observations.使开源无人机自动驾驶仪适用于实时冰山观测。
MethodsX. 2018 Sep 6;5:1059-1072. doi: 10.1016/j.mex.2018.09.003. eCollection 2018.
5
Detection of the power lines in UAV remote sensed images using spectral-spatial methods.利用光谱-空间方法检测无人机遥感图像中的电力线。
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6
Drones in medicine-The rise of the machines.医学领域的无人机——机器的崛起
Int J Clin Pract. 2017 Sep;71(9). doi: 10.1111/ijcp.12989. Epub 2017 Aug 29.
7
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8
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