机械与电子2025，Vol.43Issue(12)：59-67,9.
考虑目标属性的无人机集群协同打击分配算法
An Unmanned Cluster Collaborative Strike Allocation Algorithm Considering Target Attributes
丁家炜 1张如飞 2王志胜1
作者信息
- 1. 南京航空航天大学自动化学院,江苏 南京 211106
- 2. 北京控制与电子技术研究所,北京 100038
- 折叠
摘要
Abstract
To address the limitations of unmanned aerial vehicle swarm allocation models that rely on empirical assessments and lack adaptability to dynamic environments,a target military value evaluation method based on entropy-weighted TOPSIS is proposed,incorporating static attribute analysis for com-prehensive assessment.To overcome the inadequacy limitations of Euclidean distance in path cost estima-tion,a hierarchical bidirectional A* algorithm is developed,which leverages prior battlefield maps to rapid-ly generate feasible paths.Experiments show a tenfold improvement in planning speed,with minimal sacri-fice in optimality.Additionally,a Sigmoid-based inertia weight strategy is introduced into Particle Swarm Optimization(SIPSO)to mitigate premature convergence.The improved algorithm achieves better global-local search balance and demonstrates superior solution quality and convergence in both small-and large-scale battlefield simulations.These results validate the proposed method's effectiveness and efficiency in target assignment for unmanned swarm ground strike missions.关键词
协同打击/无人机集群/任务分配/目标属性Key words
coordinated attack/unmanned cluster/task allocation/target attribute分类
信息技术与安全科学引用本文复制引用
丁家炜,张如飞,王志胜..考虑目标属性的无人机集群协同打击分配算法[J].机械与电子,2025,43(12):59-67,9.
