  In recent years, the use of inspection drones has become increasingly popular
for high-voltage electric cable inspections due to their efficiency,
cost-effectiveness, and ability to access hard-to-reach areas. However, safely
landing drones on power lines, especially under windy conditions, remains a
significant challenge. This study introduces a semi-autonomous control scheme
for landing on an electrical line with the NADILE drone (an experimental drone
based on original LineDrone key features for inspection of power lines) and
assesses the operating envelope under various wind conditions. A Monte Carlo
method is employed to analyze the success probability of landing given initial
drone states. The performance of the system is evaluated for two landing
strategies, variously controllers parameters and four level of wind
intensities. The results show that a two-stage landing strategies offers higher
probabilities of landing success and give insight regarding the best controller
parameters and the maximum wind level for which the system is robust. Lastly,
an experimental demonstration of the system landing autonomously on a power
line is presented.
