基于距离和拓扑重构方法的多智能体系统动态编队跟踪与容错控制。

Lu Liu, Cui Yu, Yonghua Wang, Jinglong Wen, Shuaishuai Kong, Yuhang Ma, Dan Liu, Peng Shi, Chenyang Xue
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引用次数: 0

摘要

针对库仑摩擦影响下的多智能体系统(MAS),提出了一种基于端口-哈密顿能量框架的分布式动态地层跟踪和容错控制方法。将智能体之间的耦合关系等效建模为虚拟弹簧,模拟智能体之间的相互作用力,反映智能体的相对位置和运动状态。设计了一种基于距离的分布式控制方案,保证多智能体组成的编队在实现目标跟踪的同时,能够不断调整编队的方向和大小。此外,考虑到智能体运动故障导致通信中断的可能性,提出了一种基于拓扑重构的容错算法,对故障后的编队拓扑进行重构。通过数值仿真验证了该控制方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic formation tracking and fault-tolerant control of multi-agent systems based on distance and topology reconstruction methods.

This paper introduces a distributed approach for dynamic formation tracking and formation fault-tolerant control within the port-Hamiltonian energy framework for multi-agent system (MAS) affected by Coulomb friction. The coupling relationships between agents are equivalently modeled as virtual springs, which simulate the interaction forces between agents to reflect the relative positions and motion states of the agents. A distance-based distributed control scheme is designed, to ensure that the formation composed of multiple agents can continuously adjust the direction and size of the formation while achieving target tracking. Additionally, considering the possibility of communication failure due to agent motion faults, a fault-tolerant algorithm based on topological reconstruction is proposed to reconstruct the formation topology after faults. The feasibility of this control method is verified through numerical simulations.

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