飞控与探测2025，Vol.8Issue(2)：56-63,8.DOI:10.20249/j.cnki.2096-5974.2025.02.007
基于多层次蜣螂优化的卫星集群博弈任务分配方法
Satellite Cluster Task Allocation Method Based on Multi-Layer Dung Beetle Optimization Game
摘要
Abstract
Aiming at the task assignment problem of the satellite cluster game,a task assignment method based on a multi-layer dung beetle optimization(MDBO)algorithm is studied in this pa-per.First,three optimization criteria satellite fuel consumption,orbital transfer time,and game benefits are considered,along with constraints such as tasks,fuel,and payload,to construct the optimization mathematical model.Then,the MDBO algorithm is designed to solve the problem,introducing the"Dung Beetle Bandit Particle"to address the issue of particle swarm algorithms easily converging to local optima.A multi-layer optimization mechanism is applied to decompose and reduce the dimensionality of the complex satellite game task allocation problem.The simula-tion results show that compared to the DBO algorithm,the proposed method improves optimization accuracy by 3.91％,reduces response time by 19.20％,and enhances the algorithm's stability under interference by 3.84％after convergence.关键词
卫星集群博弈/任务分配/蜣螂优化算法/编码解码/Lambert路径转移Key words
satellite cluster game/task assignment/dung beetle optimization algorithm/coding and decoding/lambert path transfer引用本文复制引用
张哲宇,张炎,肖冰,贾振帅..基于多层次蜣螂优化的卫星集群博弈任务分配方法[J].飞控与探测,2025,8(2):56-63,8.基金项目
国家科技重大专项(J2019-I-0021-0020) （J2019-I-0021-0020）
