Aerospace Instrument-Making Annotation << Back Optimization of Maximum Horizontal Speed of Unmanned Aerial Vehicle Taking into Account Wind Disturbances and Air Density Variations Based on Improved Genetic Algorithm He Bin, Neusypin K.A., Wang Zhong, Chen Hao The air density at different heights significantly affects the lift of unmanned aerial vehicles (UAVs), limiting their fl ight performance at different heights. This study conducts a dynamic analysis of UAVs, develops a dynamic model and a wind disturbance model, and establishes relationships between rotor speed, motion state, and the influence of external wind forces on UAV velocity. Using an improved genetic algorithm, the dependencies between horizontal fl ight speed, atmospheric density, and wind disturbance are derived, revealing patterns for achieving maximum horizontal flight speed under varying air densities. The results identified critical air density thresholds beyond which the UAV's power system limitations preclude sustained horizontal fl ight. Keywords: maximum speed, flight altitude, wind disturbance, improved genetic algorithm. DOI: 10.25791/aviakosmos.8.2025.1497 Pp. 13-22.