摘要
当前无人机物流配送路径识别方法识别精准度差,控制效果难以达到人们满意的效果;为了解决上述问题,基于GPS/INS技术研究了一种新的无人机物流配送路径识别与控制方法,对无人机物流配送轨迹进行识别,分别识别了无人机横滚运动轨迹、航向运动轨迹和俯仰运动轨迹,基于GPS/INS技术设计了无人机物流配送导航控制方法,给出了导航控制程序;实验结果表明,基于GPS/INS的无人机物流配送路径识别与控制方法能够有效提高UAV速度与加速度,增强识别精度,无人机飞行高度的控制精准度相比较于传统方法提高了11.25%。
The current UAV logistics distribution path identification method has poor recognition accuracy,and the control effect is difficult to achieve satisfactory results.In order to solve the above problems,a new UAV logistics distribution path identification and control method based on GPS/INS technology is studied.The UAV logistics distribution trajectory is identified,and the UAV rolling trajectory and heading motion and pitch motion trajectory are respectively identified.Based on GPS/INS technology,the navigation control method of drone logistics distribution is designed,and the navigation control program is given.The experimental results show that the GPS/INS-based UAV logistics distribution path identification and control method can effectively improve the UAV speed and acceleration,and enhance the recognition accuracy.The control accuracy of the UAV flight height is 11.25%higher than the traditional method.
作者
王力锋
周万洋
Wang Lifeng;Zhou Wanyang(Baise University,Baise533000,China)
出处
《计算机测量与控制》
2020年第5期195-198,共4页
Computer Measurement &Control
作者简介
王力锋(1985-),男,江西瑞昌人,硕士,讲师,主要从事物流系统规划、旅游景点规划方向的研究。
