Research On Structure Optimization And Air-Ground Collaborative Resilience Of UAV Swarms Based On Mission Reliability

The in-depth development and continuous acceleration of military intelligence will give birth to new forms of future warfare.From mechanization,informatization to intelligence,the form of warfare is advancing to a new stage.Intelligent unmanned combat is the core combat style of future intelligent warfare.Intelligent unmanned aerial vehicle(UAV)swarms with partial autonomous capabilities are assisted by devices to realize real-time data sharing,multi-unit networking,and coordinated cooperation between agents,and complete operational tasks such as area search and attack,reconnaissance and suppression,psychological warfare,and tactical suppression.The unmanned ground vehicle(UGV)swarms and UAV swarms realize the air-ground coordination to provide real-time enemy data information for the UGV swarms,enabling us to obtain certain tactical advantages and suppression.The mission reliability of the UAV swarms is the ability of the swarm to complete the specified tasks in the specified task time and the specified task environment.In the face of a complex and highly confrontational battlefield environment,the advantages of scale and redundancy make the UAV swarms have better survivability,even if some UAVs fail due to their own failures,external interference,enemy damage,and other factors.,the swarm is still able to complete the task.In order to obtain higher mission reliability,when certain UAVs fail during the mission,the best UAV swarm structure is needed to improve the overall resilience of the swarm.Based on mission reliability,this thesis studies the importance and structural optimization of UAV swarms and the resilience assessment under air-ground coordination.The main research contents are as follows:1.Firstly,the mission reliability models and evaluation methods of UAV swarms is established based the linear consecutive-k-out-of-n:F system,the linear consecutive(r,s)-out-of-(m,n):F system,and circular consecutive-k-out-of-n:F system with shared nodes.and the impact of changes in mission reliability of the entire system is analyzed when one or some UAVs in different locations in the swarm fail.2.Then,according to the mission reliability model of the swarm,two importance models and evaluation methods in different dimensions are calculated,namely Birnbaum importance and integrated importance measure.The impact of changes in the reliability of one or some UAVs in different locations on the performance of the UAV swarm is analyzed,and the UAVs in the key parts of the swarm and the weak links of the swarm are determined,providing reference and basis for UAV swarm mission planning,decision-making and improving mission success rate.3.Then combined with three indicators of conditional reliability,conditional failure rate,and remaining service life,the resilience performance of the polygon UAV swarm is analyzed.And the mission reliability and remaining useful life(RUL)are restored through structural optimization and adjustment during mission execution.4.Based on the Agent-based modeling method,the air-ground collaboration scenario is simulated and the resilience index and evaluation model of the UGV swarm are given.And combining the UAV swarm,the comprehensive swarm resilience model under the air-ground collaboration is given and the impact of the air-ground collaboration to the UGV swarm resilience is analyzed.