Influence Degree Analysis of Landing Points of Small-sized Fixed-wing Gliding UAV in Short Range

Enhancing the landing accuracy and reducing landing point dispersion of Unmanned Aerial Vehicles (UAVs) with fixed wings is critical for expanding the applications of UAVs in complex terrains. Faced with the requirement for arresting recovery for UAV landings in short range, a UAV with fixed wings is chosen as the research basis. The landing strategy for UAVs has been modified by the addition of wing flaps, dynamic compensation control, and ultrasonic sensors, among other things. Additionally, the simulation model validated the feasibility of the modified landing-recovery strategy. The Monte Carlo method is used to analyze the influence of interference sources, such as constant wind, gust, positioning error, airspeed measurement, mass, air density, processing and assembly, and control error, on landing point dispersion. Simulation results indicate that the modified landing strategy can significantly improve the short landing performance for small-sized UAVs with fixed wings.