固定翼无人机着陆阶段自主跑道对准

Soha Pouya, F. Saghafi
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引用次数: 4

摘要

本文研究了一种用于着陆阶段跑道中心线固定翼无人机自主横向对准的控制器。模糊逻辑控制(FLC)是为了使车辆能够模仿驾驶员在相同情况下所遵循的决策过程。此外,对于无人机纵向运动控制器的设计遵循预定的轨迹,极点放置技术被使用。假定跑道的相对位置和方向由内建的视觉系统及其相关的图像处理单元提供。通过对某固定翼无人机的六自由度计算机仿真,研究了该控制器在高斯噪声存在下的性能。研究结果表明,所设计的控制器具有良好的性能,可作为固定翼无人机自主视觉着陆阶段控制器结构的通用选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Runway Alignment of Fixed-Wing Unmanned Aerial Vehicles in Landing Phase
In this paper, the development of a controller for autonomous lateral alignment of fixed-wing Unmanned Aerial Vehicles (UAVs) with runway centerline in landing phase is presented. Fuzzy Logic Control (FLC) is used in order to enable the vehicle to mimic the decision making procedure that a pilot follow in the same situation. Also, for longitudinal motion controller design for the UAV to follow a pre-defined trajectory, the pole-placement technique is used. It is assumed that the runway relative position and orientation are provided by a built in vision system and its associated image processing unit. The performance of the controller in the presence of the Gaussian noises is investigated by the 6DOF computer simulation for a known fixed-wing UAV. It is shown that the developed controller has an acceptable performance and can be considered as a generic option for the controller structure in autonomous vision-based landing phase of fixed-wing UAVs.
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