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.

翻译：近年来，由于巡检无人机在高压电缆检测中具有效率高、成本低、能到达难以触及区域等优势，其应用日益广泛。然而，在风力条件下安全地将无人机降落在电力线上仍是一项重大挑战。本研究针对NADILE无人机（一种基于原始LineDrone关键特性设计的实验性电力线巡检无人机）提出了半自主着陆控制方案，并评估了各种风况下的运行包线。采用蒙特卡罗方法分析初始无人机状态下着陆的成功概率。系统性能通过两种着陆策略、不同控制器参数及四种风力强度水平进行评估。结果表明，两阶段着陆策略可提供更高的着陆成功概率，并揭示了最佳控制器参数及系统保持鲁棒性的最大风力水平。最后，实验演示了系统在电力线上的自主着陆过程。