With the rapid advancement of unmanned aerial vehicle(UAV)technology,quadcopters have found extensive applica-tions in fields such as aerial photography,logistics,and search and rescue.However,the unpredictable variability of external weather conditions often adversely affects the stability and control performance of these aircraft.Quadcopters are required to maintain stable flight under various weather conditions,with crosswinds being a common challenge.Leveraging natural wind patterns,this paper re-searched and optimized an algorithm for crosswind suppression.Using simulink/simscape co-simulation,we studied its performance.This algorithm adjusts the quadcopter's attitude based on sensor data and control strategies to ensure stable flight.Through simulation experiments,we confirmed the algorithm's effectiveness and robustness,providing strong support for the safe operation of quadcopters in adverse weather conditions.
维普
万方数据