Study of Load Spectrum Occurring in the Course of Photogrammetric Missions of the UAV
Mirosław Rodzewicz , Dominik Głowacki
AbstractAmong common applications of light-weight civilian UAVs are aerial monitoring and photogrammetry. A good example of such UAVs’ application is MONICA Project, devoted to aerial monitoring and photogrammetry of Antarctic Specially Protected Areas (ASPA) on King George Island (KGI). It involved the PW-ZOOM used as a UAV platform, a plane powered by 4hp gas engine, having 3.2 m of wing span and 24 kg of take-off weight. During three Antarctic spring seasons (2014–2016) the PW-ZOOM performed 33 flights of total distance of 3641 km, and spent 35,6 h in the air over the coastal zone of KGI. Besides delivering a large amount of photogrammetry data, also the flight-logs with several flights parameters were collected, which allowed for studying various flight dynamic aspects. The paper contains an analysis of the flight-logs, with a focus on investigation of load spectrum during photogrammetry missions. The analysis was based on flights having the same scenario and flight-track, but performed in different weather conditions, especially at different wind speeds. The load spectra were developed as half-cycle arrays of load factor signal (i.e. transfer arrays based on the rainflow counting algorithm), and as incremental load spectra. Calculation algorithms were prepared by the authors in the LabVIEW environment (Fig. 1). The obtained results allow for assessing the influence of weather on the fatigue loads during flight. They can be useful as the basis necessary for load spectrum extrapolation and preparation of fatigue tests of the PW-ZOOM structure or similar planes.
|Publication size in sheets||0.75|
|Book||Niepokólczycki A., Komorowski J. (eds.): Proceedings of 30th Symposium of the International Committee on Aeronautical Fatigue - Structural Integrity in the Age of Additive Manufacturing, 2019, International Committee on Aeronautical Fatigue, ISBN 978-3-030-21503-3|
|Keywords in English||Load spectra; Photogrammetry missions; UAV|
|Score||= 5.0, 20-02-2020, ChapterFromConference|
|Publication indicators||= 0|
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