Differential Game for Satellite Swarm Confrontation System with Strength Supplement

Lingwei Li, Bing Xiao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper addresses the strength supplement strategies generation problem for satellite swarm confrontation system. First, an attrition forecasting model is established by appling an improved Lanchester equation to forecaste the attrition of satellite swarm confrontation system. Decision-making delay time, reconnaissance information support capacity, and electronic jamming capacity are considered in the model to fit the practice of the satellite swarm confrontation system. Second, the supplement decision-making problem is modelled as a differential game model based on the established attrition forecasting model. In order to better match the practice of the satellite swarm confrontation system, the constraints such as attack rate and engagement rate, confrontation time, supplement number, and sunlight angle are considered in the differential game. The game objective is to maximum the confrontation effectiveness of the satellite swarm confrontation system while using the least amount of supplement possible. Finally, the solution process is derived by multi-interval simultaneous orthogonal collocation decomposition (MISOCD) method. Three collocation methods are compared in the simulation. The results show that Legendre-Gauss-Radau collocation method in MISOCD exhibits a better fit and is more applicable to solve the supplement decision-making problem.

源语言英语
主期刊名Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Optimization Technologies
编辑Yongzhao Hua, Yishi Liu, Liang Han
出版商Springer Science and Business Media Deutschland GmbH
52-63
页数12
ISBN(印刷版)9789819733231
DOI
出版状态已出版 - 2024
活动7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 - Nanjing, 中国
期限: 24 11月 202327 11月 2023

出版系列

姓名Lecture Notes in Electrical Engineering
1203 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
国家/地区中国
Nanjing
时期24/11/2327/11/23

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