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四旋翼飞行器横风抑制算法设计与仿真

Design and simulation of crosswind suppression algorithm for quadcopter
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摘要 随着无人飞行器技术的迅猛发展,四旋翼飞行器在航拍、物流、搜救等领域中得到广泛应用。然而,外部天气环境的多变性,常常对飞行器的稳定性和控制性能产生负面影响。四旋翼飞行器需要在各种气象条件下保持稳定的飞行,其中横风是一个常见的挑战。基于自然界风的特点,文章研究并优化了一种用于横风抑制的算法,通过使用Simulink/Simscape联合仿真研究其性能。该算法基于传感器数据和控制策略来调整四旋翼飞行器的姿态,以维持稳定的飞行。通过仿真实验,验证了该算法的有效性和鲁棒性,为四旋翼飞行器在恶劣气象条件下的安全飞行提供了有力支持。 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.
作者 洪利 刘军 HONG Li;LIU Jun(Shenyang Ligong University,Shenyang 110159,China)
出处 《通信与信息技术》 2024年第5期90-94,共5页 Communication & Information Technology
基金 辽宁省教育厅基本科研项目(项目编号:LJKMZ20220610)。
关键词 四旋翼飞行器 模糊PID 智能优化 Simulink/Simscape联合仿真 Quadcopter Fuzzy PID Intelligent optimization Simulink/Simscape Co-Simulation
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