航空科学技术2025，Vol.36Issue(12)：36-43,8.DOI:10.19452/j.issn1007-5453.2025.12.005
面向弹性的多无人机自主恢复与实时决策
Resilience-Oriented Autonomous Recovery and Real-Time Decision-Making for Multi-UAV Systems
摘要
Abstract
In a contested environment,multi-UAV systems face the challenge of mission interruption due to individual UAV failures.The autonomous recovery capability of the system has become the key to improving mission effectiveness.This paper proposes a resilient multi-UAV autonomous recovery decision-making framework.First,a resilience quantification index that integrates mission completion rate and maintenance resources is proposed.This index enables dynamic performance assessment of the system's robustness and recoverability.Based on this,a dualstrategy collaborative optimization model is constructed,which combines the repair of damaged components with dynamic mission reallocation as a joint recovery strategy.The system's resilience is optimized through dynamic coordination of these strategies.To address the real-time nature and complexity of autonomous recovery strategies,a partially observable Markov decision process(POMDP)is used for modeling,and an improved multi-agent deep Qnetwork(MADQN)algorithm is proposed.By introducing a swarm intelligence collaboration mechanism,the training convergence is enhanced,and the efficiency of strategy space exploration is improved.Simulation verification shows that the proposed method can generate optimal recovery strategies under different disruption scenarios,with a system resilience improvement of up to 0.94.By establishing a resilience quantification index and a dynamic coordination mechanism for recovery strategies,the framework enhances the system's autonomous recovery and real-time decision-making capabilities.关键词
多无人机系统/自主恢复/实时决策/弹性/多智能体深度Q网络Key words
multi-UAV systems/autonomous recovery/real-time decision-making/resilience/multi-agent deep Q-network分类
航空航天引用本文复制引用
陈尉珂,张文良,海星朔,杨林超,樊冬明..面向弹性的多无人机自主恢复与实时决策[J].航空科学技术,2025,36(12):36-43,8.基金项目
航空科学基金(2022Z063051001) Aeronautical Science Foundation of China(2022Z063051001) （2022Z063051001）
