Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi

arXiv:2411.17534v1 Announce Type: cross Abstract: The research presents an automated method
for determining the trajectory of an unmanned aerial vehicle (UAV) for wind turbine inspection. The
proposed method enables efficient data collection from multiple wind installations using UAV optical
sensors, considering the spatial positioning of blades and other components of the wind energy
installation. It includes component segmentation of the wind energy unit (WEU), determination of
the blade pitch angle, and generation of optimal flight trajectories, considering safe distances and

optimal viewing angles. The results of computational experiments have demonstrated the
advantage of the proposed method in monitoring WEU, achieving a 78% reduction in inspection
time, a 17% decrease in total trajectory length, and a 6% increase in average blade surface
coverage compared to traditional methods. Furthermore, the process minimizes the average
deviation from the optimal trajectory by 68%, indicating its high accuracy and ability to
compensate for external influences.

Pour en savoir plus : Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi