固定翼无人机编队构型与通信拓扑优化  

Formation configuration and communication topology optimization for fixed-wing UAVs

作　　者：徐星光[1,2,3] 王晓峰 姚璐 任章 XU Xingguang;WANG Xiaofeng;YAO Lu;REN Zhang(Beijing Institute of Mechanical and Electrical Engineering,Beijing 100074,China;School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;Science and Technology on Complex System Control and Ietelligent Agent Coopration Laboratory,Beijing 100074,China)

机构地区：[1]北京机电工程研究所,北京100074 [2]北京航空航天大学自动化科学与电气工程学院,北京100191 [3]复杂系统控制与智能协同技术重点实验室,北京100074

出　　处：《系统工程与电子技术》2022年第9期2936-2946,共11页Systems Engineering and Electronics

基　　金：国家自然科学基金(61503009,61971099)资助课题。

摘　　要：本文研究了考虑攻防对抗态势与最小信息流要求的固定翼无人机(unmanned aerial vehicles,UAVs)编队构型与通信拓扑优化问题。建立了编队构型指标体系,给出了大规模集群分层编队构型设计模型和编解码方法,提出了基于态势场的队形模型,采用粒子群算法开展了队形参数优化。建立了通信网络拓扑效能指标体系,提出了通信代价模型,给出了基于Q学习的网络连通性控制算法。仿真算例验证了所提方法的有效性。The formation configuration and communication topology optimization problem for fixed-wing unmanned aerial vehicles(UAVs)considering attack defense confrontation situation and minimum information flow requirement is studied.The formation configuration index system is established,the configuration design model and encoding and decoding method of large-scale cluster hierarchical formation are given,the formation model based on power field is proposed,and the formation parameters are optimized by particle swarm optimization algorithm.The communication network topology efficiency index system is established,the communication cost model is proposed,and the network connectivity control algorithm based on Q-Learning is given.The simulation results verify the effectiveness of the proposed method.

关 键 词：固定翼无人机 编队构型 通信拓扑 

分 类 号：TJ765.2[兵器科学与技术—武器系统与运用工程]