无人机集群负载均衡关键技术OA

To address the problems of single-dimensional load evaluation and insufficient adaptability of dynamic regulation in existing research,while clarifying the deeply coupled relationship between load balancing and task planning,this paper conducts a comprehensive review of the application status,existing problems and corresponding solutions of load balancing technology for UAV swarms.Firstly,it sorts out three categories of core technologies:load balancing methods embedded in static planning models,dynamic adaptive models,and passive responsive load adjustment strategies,and analyzes in depth the technical characteristics,advantages and disadvantages of each method.Then,it dissects the two core contradictions faced by current research:the mismatch between multi-dimensional load perception and static evaluation systems,and the imbalanced trade-off between dynamic regulation demands and static architecture constraints.Finally,an integrated solution path is proposed,which includes the construction of a multi-dimensional evaluation index system,the application of ad-vanced measurement methods,and the design of distributed low-consumption algorithms.The research results provide a theo-retical reference for the optimization and upgrading of UAV swarm load balancing technology.