arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2301.08545cs.RO

基于非线性MPC的多无人机全位姿操控缆绳悬挂负载

Nonlinear MPC for Full-Pose Manipulation of a Cable-Suspended Load using Multiple UAVs

Sapienza University of Rome(罗马大学);LAAS-CNRS(法国国家科学研究中心系统分析与架构实验室);Université de Toulouse(图卢兹大学);University of Twente(特文特大学)

Sihao Sun, Antonio Franchi

AI总结:

本文提出基于非线性模型预测控制的集中式方法,使多无人机通过缆绳操控负载全位姿,首次考虑完整非线性模型及推力、碰撞、缆绳张力等约束,仿真验证其快速安全且计算时间小于100 ms,适用于建筑施工和重载运输。

摘要:

在本文中,我们提出了一种基于非线性模型预测控制的集中式控制方法,使多架无人机能够通过缆绳操控物体的全位姿。据作者所知,这是第一种考虑负载-无人机系统完整非线性模型的方法,并确保所有可行性约束,包括无人机的最大和最小推力、无人机之间、缆绳与负载之间的碰撞避免,以及缆绳的张紧状态和最大张力。通过考虑上述因素,所提出的控制算法能够充分利用无人机的性能并提高操作速度。通过仿真验证了该算法能够利用多架无人机实现对刚体负载位姿的快速且安全操控。我们证明,对于最多由10架无人机组成的编队,所提出方法的计算时间足够小(<100 ms),这使其适用于未来广泛的工业应用,例如自主建筑施工和重载运输。

英文摘要:

In this work, we propose a centralized control method based on nonlinear model predictive control to let multiple UAVs manipulate the full pose of an object via cables. At the best of the authors knowledge this is the first method that takes into account the full nonlinear model of the load-UAV system, and ensures all the feasibility constraints concerning the UAV maximumum and minimum thrusts, the collision avoidance between the UAVs, cables and load, and the tautness and maximum tension of the cables. By taking into account the above factors, the proposed control algorithm can fully exploit the performance of UAVs and facilitate the speed of operation. Simulations are conducted to validate the algorithm to achieve fast and safe manipulation of the pose of a rigid-body payload using multiple UAVs. We demonstrate that the computational time of the proposed method is sufficiently small (<100 ms) for UAV teams composed by up to 10 units, which makes it suitable for a huge variety of future industrial applications, such as autonomous building construction and heavy-load transportation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑