Inspection of Aircraft Wing Panels Using Unmanned Aerial Vehicles

Konstantinos Malandrakis, A. Savvaris, Jose Angel Gonzalez Domingo, Nick Avdelidis, Panagiotis Tsilivis, Florence Plumacker, L. Z. Fragonara, Antonios Tsourdos
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引用次数: 1

Abstract

In large civil aircraft manufacturing a time-consuming post-production process is the non-destructive inspection of wing panels. This work aims to address this challenge and improve the defects' detection by performing automated aerial inspection using a small off-the-shelf multirotor. The UAV is equipped with a wide field-of-view camera and an ultraviolet torch for implementing non-invasive imaging inspection. In particular, the UAV is programmed to perform the complete mission and stream video, in real-time, to the ground control station where the defects' detection algorithm is executed. The proposed platform was mathematically modelled in MATLAB/SIMULINK in order to assess the behaviour of the system using a path following method during the aircraft wing inspection. The UAV was tested in the lab where a six-meter-long wing panel was one-side inspected. Initial results indicate that this inspection method could reduce significantly the inspection time, cost, and workload, whilst potentially increasing the probability of detection.
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使用无人驾驶飞行器检查飞机机翼面板
在大型民用飞机的制造过程中,翼板的无损检测是一个耗时的后期制作过程。这项工作旨在解决这一挑战,并通过使用小型现成的多旋翼进行自动空中检查来改进缺陷检测。UAV配备一个宽视场照相机和一个紫外手电筒用于执行非侵入性成像检查。特别是,无人机被编程为执行完整的任务和实时视频流,到执行缺陷检测算法的地面控制站。在MATLAB/SIMULINK中对所提出的平台进行了数学建模,以便在飞机机翼检查过程中使用路径跟踪方法评估系统的行为。无人机在实验室进行了测试,其中一个6米长的机翼面板进行了单边检查。初步结果表明,该检测方法可以显著减少检测时间、成本和工作量,同时潜在地提高检测概率。
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