基于决策树搜索的空间飞行器集群对抗目标分配方法

doi:10.7527/S1000-6893.2022.26910

Abstract

Abstract: To solve the problem of target assignment in confrontation of multiple space vehicles， the probability of target interception by the spacecraft cluster is calculated based on the reachable set theory. A multi-layer index optimization model considering reachability， fuel consumption and interception probability is established. Decision tree search is used to solve the target assignment model. To avoid repeated calculation of interception probability of the same interceptor-target combination， we propose a new method which use the depth-first search method to generate the target assignment guidance table， and the target assignment decision tree is generated by using the guidance table， which greatly reduces the calculation time. Then， by traversing the decision tree based on the multi-layer index， we obtain the optimal target assignment combination. The effectiveness of the proposed method is verified by simulation examples.

Key words: decision tree, target assignment, depth-first search, reachable domain, multi-objective optimization

CLC Number:

V448.232

ZOU Ziyuan, CHEN Qifeng. Decision tree-based target assignment for confrontation of multiple space vehicles[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(S1): 726910-726910.

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Decision tree-based target assignment for confrontation of multiple space vehicles

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