基于移动起降平台的无人机定点降落混合模式探究

本文技术应用于无人机对风电场或电力设施进行远程巡检,由于无人机续航里程较短,无法通过一次充电直接到达目标点,可利用小型无人载具先搭载无人机抵近目标,再在起降平台上完成起飞,并在执行任务后返回降落到平台上。针对该过程中如何实现无人机定点精准降落问题,本文提出一种无人机定点降落混合模式,重点研究无人机与起降平台的粗定位技术与基于图像识别的精准降落技术,同时利用携带二维码的go1机器狗进行仿真实验,验证目标识别方法的有效性。

This paper technology is applied to UAV to wind farm or power facilities remote inspection,due to the short cruising range of UAV,can not directly reach the target point through a single charge,can use small unmanned vehicles to carry UAV to the target first,and then complete takeoff on the take-off and landing platform,and return to the platform after performing the task.Aiming at how to achieve the problem of UAV fixed-point accurate landing in this process,this paper proposes a hybrid mode of UAV fixed-point landing,focusing on the coarse positioning technology of UAV and take-off platform and accurate landing technology based on image recognition,and at the same time using the go1 robot dog carrying QR code to conduct simulation experiments to verify the effectiveness of the target recognition method.