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arXiv 1703.08217eess.SYcs.SY
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基于位置和姿态的多刚体编队控制及碰撞避障与连通性维持

Position and Orientation Based Formation Control of Multiple Rigid Bodies with Collision Avoidance and Connectivity Maintenance

ACCESS Linnaeus Center, School of Electrical Engineering, KTH Royal Institute of Technology(ACCESS林奈斯中心,电气工程学院,KTH皇家理工学院);KTH Center for Autonomous Systems(KTH自主系统中心)

Christos K. Verginis, Alexandros Nikou, Dimos V. Dimarogonas

AI总结:

本文研究了在三维空间中有障碍物的第二类非线性多智能体系统的位置和姿态编队控制问题,设计了分布式控制协议以实现预设几何编队,同时保证连通性和碰撞避障。

摘要:

本文针对在三维工作空间中存在障碍物的第二类非线性多智能体系统的基于位置和姿态的编队控制问题进行了研究。具体而言,我们设计了一种分布式控制协议,使得每个智能体能够与初始邻居一起实现预设的几何编队,同时利用有限的感知半径的局部信息。后者意味着所提出的方案保证了最初连接的智能体始终保持连接。此外,通过引入某些距离约束,我们保证了智能体之间的碰撞避障以及与障碍物和工作空间边界的碰撞避障。所提出的控制器采用了一种新的势函数类,并且除了与重力相关的项外,不需要事先知道动态模型。最后,仿真结果验证了所提出框架的有效性。

英文摘要:

This paper addresses the problem of position- and orientation-based formation control of a class of second-order nonlinear multi-agent systems in a $3$D workspace with obstacles. More specifically, we design a decentralized control protocol such that each agent achieves a predefined geometric formation with its initial neighbors, while using local information based on a limited sensing radius. The latter implies that the proposed scheme guarantees that the initially connected agents remain always connected. In addition, by introducing certain distance constraints, we guarantee inter-agent collision avoidance as well as collision avoidance with the obstacles and the boundary of the workspace. The proposed controllers employ a novel class of potential functions and do not require a priori knowledge of the dynamical model, except for gravity-related terms. Finally, simulation results verify the validity of the proposed framework.

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。

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