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Flocking of multi-robot systems with connectivity maintenance on directed graphs

机译:通过有向图的连通性维护来实现多机器人系统的聚集

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摘要

Analysis and design techniques for cooperative flocking of nonholonomic multi-robot systems with connectivity maintenance on directed graphs are presented. First, a set of bounded and smoothly distributed control protocols are devised via carefully designing a class of bounded artificial potential fields (APF) which could guarantee the connectivity maintenance, collision avoidance and distance stabilization simultaneously during the system evolution. The connectivity of the underlying network can be preserved, and the desired stable flocking behavior can be achieved provided that the initial communication topology is strongly connected rather than undirected or balanced, which relaxes the constraints for group topology and extends the previous work to more generalized directed graphs. Furthermore, the proposed control algorithm is extended to solve the flocking problem with a virtual leader. In this case, it is shown that all robots can asymptotically move with the desired velocity and orientation even if there is only one informed robot in the team. Finally, nontrivial simulations and experiments are conducted to verify the effectiveness of the proposed algorithm.
机译:提出了用于非完整多机器人系统协同植绒的有向图的连接性维护的分析和设计技术。首先,通过精心设计一类有界人工势场(APF),设计出一组有界且平稳分布的控制协议,该协议可以保证在系统演进过程中同时保持连接性,避免碰撞和保持距离稳定。只要初始通信拓扑是牢固连接而不是非定向或平衡的,就可以保留基础网络的连通性,并可以实现所需的稳定植绒行为,这可以放宽对组拓扑的约束,并将先前的工作扩展到更广义的定向图。此外,所提出的控制算法被扩展以解决虚拟领导者的植绒问题。在这种情况下,即使团队中只有一个知情的机器人,也可以证明所有机器人都可以以所需的速度和方向渐近移动。最后,通过简单的仿真和实验验证了所提算法的有效性。

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