中国惯性技术学报2024,Vol.32Issue(5) :511-520.DOI:10.13695/j.cnki.12-1222/o3.2024.05.012

切换拓扑下多智能体时变编队控制方法

Time-varying formation control method for multi-agent under switching topologies

庞强伟 朱拥勇 陈晔 李宗吉 董理 黄成果
中国惯性技术学报2024,Vol.32Issue(5) :511-520.DOI:10.13695/j.cnki.12-1222/o3.2024.05.012

切换拓扑下多智能体时变编队控制方法

Time-varying formation control method for multi-agent under switching topologies

庞强伟 1朱拥勇 2陈晔 2李宗吉 2董理 2黄成果1
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作者信息

  • 1. 中国人民解放军 92116 部队,葫芦岛 125003
  • 2. 海军工程大学 兵器工程学院,武汉 430000
  • 折叠

摘要

针对通信存在测量噪声和链路频繁断开下的多智能体时变编队稳定控制问题,基于期望编队状态、智能体自身状态和通信拓扑,提出一种切换拓扑下多智能体时变编队控制方法.首先,通过矩阵替换对系统进行降维处理.然后,应用随机微分方程理论和 Lyapunov 稳定性定理推导出编队系统在普通切换和随机切换下稳定的充要条件以及编队收敛指标.最后,在四个智能体构成的编队和四个备用拓扑的仿真条件下,验证了所提方法可有效保证多智能编队在切换拓扑下的稳定性.相较于普通切换拓扑,随机切换拓扑能更快地将编队误差收敛至 10-2 以内,效率提高约 34.4%.同时编队收敛指标也证实了这一结论,且编队的精确性以及应用范围也要优于普通切换拓扑.

Abstract

A time-varying formation control method for multi-agent under switching topologies is proposed,which utilizes the desired formation state,the agent itself state and the communication topology to achieve time-varying formation stability control for multi-agent with observation noise and frequent disconnection of communication links.Firstly,the dimensionality of the system is reduced by matrix replacement.Then,the stochastic differential equation theory and Lyapunov stability theorem are applied to derive necessary and sufficient conditions to ensure the stability of the formation system under normal switching and random switching,as well as the formation convergence index that can reflect the convergence performance of the formation.Finally,under the simulation conditions of a formation composed of four agents and four alternate topologies,it is verified that the proposed control method can effectively ensure the stability of the multi-agent formation in the switching topology.Compared with the normal switching topology,the random switching topology can converge the formation error to less than 10-2 faster,and the efficiency is increased by about 34.4%.At the same time,the convergence index of formation also confirms this conclusion and the accuracy of formation and application range is better than that of normal switching topology.

关键词

智能体/编队控制/切换拓扑/随机微分方程/Lyapunov定理

Key words

agent/formation control/switching topology/stochastic differential equation/Lyapunov theorem

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基金项目

湖北省重点研发计划(2021BID006)

海军工程大学创新基金(HGCXJJ202109)

出版年

2024
中国惯性技术学报
中国惯性技术学会

中国惯性技术学报

CSTPCDCSCD北大核心
影响因子:0.792
ISSN:1005-6734
参考文献量20
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