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Finite-Time Formation Control without Collisions for Multiagent Systems with Communication Graphs Composed of Cyclic Paths

机译:具有循环路径组成的通信图的多智能体系统无冲突的有限时间编队控制

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This paper addresses the formation control problem without collisions for multiagent systems. A general solution is proposed for the case of any number of agents moving on a plane subject to communication graph composed of cyclic paths. The control law is designed attending separately the convergence to the desired formation and the noncollision problems. First, a normalized version of the directed cyclic pursuit algorithm is proposed. After this, the algorithm is generalized to a more general class of topologies, including all the balanced formation graphs. Once the finite-time convergence problem is solved we focus on the noncollision complementary requirement adding a repulsive vector field to the previous control law. The repulsive vector fields display an unstable focus structure suitably scaled and centered at the position of the rest of agents in a certain radius. The proposed control law ensures that the agents reach the desired geometric pattern in finite time and that they stay at a distance greater than or equal to some prescribed lower bound for all times. Moreover, the closed-loop system does not exhibit undesired equilibria. Numerical simulations and real-time experiments illustrate the good performance of the proposed solution.
机译:本文针对多主体系统解决了没有冲突的编队控制问题。对于任何数量的代理在受循环路径组成的通信图约束的平面上移动的情况,提出了一种通用解决方案。设计控制律时,要分别考虑收敛到所需形式和非碰撞问题。首先,提出了有向循环追踪算法的归一化版本。此后,将算法推广到更通用的拓扑类别,包括所有平衡的形成图。一旦解决了有限时间收敛问题,我们就将重点放在非碰撞互补要求上,从而在先前的控制定律上增加排斥向量场。排斥向量场显示不稳定的焦点结构,该焦点结构适当缩放并定中心在特定半径内其余代理的位置。拟议的控制法则确保代理在有限时间内达到所需的几何图案,并始终保持大于或等于某个规定下限的距离。而且,闭环系统不会表现出不希望的平衡。数值模拟和实时实验说明了所提出解决方案的良好性能。

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