计算机科学
反推
职位(财务)
控制理论(社会学)
控制器(灌溉)
任务(项目管理)
李雅普诺夫函数
理论(学习稳定性)
Lyapunov稳定性
人工智能
模拟
计算机视觉
控制(管理)
自适应控制
量子力学
生物
农学
机器学习
物理
非线性系统
经济
管理
财务
作者
Yuhua Qi,Jiaqi Jiang,Jin Wu,Jianan Wang,Chunyan Wang,Jiayuan Shan
标识
DOI:10.1016/j.robot.2019.05.004
摘要
In this paper, a complete solution for autonomous landing of a low-cost quadrotor on a moving platform is presented. First, the dynamic model of the quadrotor is described and simplified for landing task. Second, a novel landing pad associated with detection algorithm is designed for robust detection by a low-cost monocular camera. In order to deal with mirror effect and occasional misidentification, a 3D point cluster algorithm for relative position estimation is proposed. Third, using the backstepping approach, an adaptive position controller is designed to calculate the desired attitude for attitude loop. The overall stability of the position loop is proven by a Lyapunov method. Meanwhile, some landing strategies are presented to achieve a safe and stable landing task. Finally, the low-cost system architecture of the quadrotor and the experiment results are both demonstrated to showcase the effectiveness of the proposed method.
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