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Precision Landing System on H-Octocopter Drone Using Complementary Filter

机译:使用互补滤波器的H-Ocopter无人机精确着陆系统

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An automatic landing system is required on a long-range drone because the position of the vehicle cannot be reached visually by the pilot. The autopilot system must be able to correct the drone movement dynamically in accordance with its flying altitude. The current article describes autopilot system on an H-Octocopter drone using image processing and complementary filter. This paper proposes a new approach to reduce oscillations during the landing phase on a big drone. The drone flies above 10 meters to a provided coordinate using GPS data, to check for the existence of the landing area. This process is done visually using the camera. PID controller is used to correct the movement by calculate error distance detected by camera. The controller also includes altitude parameters on its calculations through a complementary filter. The controller output is the PWM signals which control the movement and altitude of the vehicle. The signal then transferred to Flight Controller through serial communication, so that, the drone able to correct its movement. From the experiments, the accuracy is around 0.56 meters and it can be done in 18 seconds.
机译:远程无人机需要自动着陆系统,因为飞行员无法从视觉上看到车辆的位置。自动驾驶系统必须能够根据其飞行高度动态校正无人机的运动。当前文章介绍了使用图像处理和互补滤镜的H-Ococopter无人机上的自动驾驶系统。本文提出了一种减少大型无人机着陆阶段振荡的新方法。无人机使用GPS数据飞到10米以上,到达提供的坐标,以检查着陆区的存在。使用相机可以直观地完成此过程。 PID控制器用于通过计算摄像机检测到的误差距离来校正运动。控制器还通过补充滤波器在其计算中包括海拔参数。控制器的输出是控制车辆运动和高度的PWM信号。信号然后通过串行通信传输到飞行控制器,这样,无人机就可以纠正其运动。根据实验,精度约为0.56米,可以在18秒内完成。

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