摘要
近年来,四旋翼无人机的姿态控制成为无人机控制领域的研究热点。四旋翼无人机在执行任务时需要克服自身震动、风速、悬臂本身质量不均等干扰,因此目标跟踪四旋翼无人机需要具备更强的鲁棒性和精确性的姿态控制算法。笔者提出了结合混合滤波算法的滑膜反步姿态控制算法,仿真结果表明该算法具有较好的抗干扰性,对四旋翼在完成跟踪任务时具有较理想的控制效果。
In recent years,the attitude control of four rotor UAV has become a research hotspot in the field of UAV control.The four rotor UAV needs to overcome the interference of its own vibration,wind speed,and uneven cantilever mass when it performs tasks,so the target tracking four rotor UAV needs a more robust and accurate attitude control algorithm.The simulation results show that the algorithm has good anti-jamming performance and ideal control effect for the four rotors in the tracking task.
作者
王娜
汪振东
张丽园
Wang Na;Wang Zhendong;Zhang Liyuan(College of Mathematics and Computer Science,Yuzhang Normal University,Nanchang Jiangxi 330103,China)
出处
《信息与电脑》
2020年第3期35-37,共3页
Information & Computer
基金
2018年度江西省教育厅科学技术研究项目课题“无人机自稳定细分驱动视觉跟踪云台系统的研究”(项目编号:GJJ181157)。
关键词
四旋翼无人机
姿态控制
混合滤波算法
four-rotor UAV
attitude control
hybrid filtering algorithm