有效载荷(计算)
运动学
机械臂
理论(学习稳定性)
计算机科学
控制工程
控制理论(社会学)
钥匙(锁)
机器人
系统动力学
组分(热力学)
惯性
工作(物理)
弹道
对象(语法)
工程类
控制系统
模拟
常量(计算机编程)
机器人学
西尔维斯特惯性定律
自适应控制
运动控制
机器人运动学
机械手
工业机器人
运动(物理)
控制(管理)
正向运动学
贴片设备
标识
DOI:10.53297/18293336-2025.1-79
摘要
The paper presents a detailed stability analysis of an unmanned aerial vehicle (UAV) equipped with a 2-DOF robotic arm designed for grasping and manipulating differ-ent payloads. UAV-manipulators have got increasing attention due to their ability to per-form complex manipulation tasks while flying. Despite the advantages, these systems face various challenges, and their control strategies need to be examined to ensure reliable and stable performance in such dynamic conditions. To address these challenges, the dynamics of the UAV-manipulator system are discussed in the paper. The manipulator's kinematics are modeled according to the Denavit-Hartenberg convention. The full system dynamics are derived using the Euler-Lagrange method, considering both UAV and robotic arm dy-namics with their coupled interactions. A key contribution of this work is the formulation of the inertia matrix of the system as a constant nominal component and a time-varying uncertainty as a result of the effects of manipulator motion and object interaction. This separation enables a more structured and detailed analysis of the system's stability under changing robot configurations and payloads. To support the analysis, a Matlab/Simulink model of the UAV-manipulator system is developed based on the derived symbolic dy-namics. The simulation model allows to test various manipulation scenarios and helps to monitor the key indicators of stability such as the system's response, center-of-mass be-havior, and the effects of payload variations on the system’s stability. The results empha-size the impact of the manipulator's configuration and the payload on the overall dynam-ics of the system. The proposed framework serves as a foundation for the future develop-ment of adaptive or data-driven control strategies that can address the dynamic uncertain-ties of the UAV-manipulator system. Keywords: unmanned aerial vehicle, robotic manipulation, object grasping, stability analysis, Matlab/Simulink.
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