中国空间科学技术2024，Vol.44Issue(4)：1-10,10.DOI:10.16708/j.cnki.1000-758X.2024.0052
基于改进蜣螂优化的GEO轨道多脉冲追逃博弈
Multi-impulse pursuit-evasion game in GEO based on improved dung beetle optimization
摘要
Abstract
This paper investigates the pursuit-evasion game of GEO with J2 perturbation and impulsive thrust considering perception delay.An optimization model of orbital pursuit strategy is established,considering fuel consumption,single impulse velocity increment,impulse interval time,mission duration,impulse quantity,and terminal distance.The design variables include the number of impulses,the sequence of maneuver moments,and the sequence of impulse increments.The pursuing spacecraft pursues the target spacecraft through multiple impulses.To enhance problem-solving efficiency,an improved Bernoulli dung beetle optimization algorithm(IBDBO)utilizing Bernoulli chaotic mapping and optimal value guidance is proposed.Additionally,Lambert maneuver correction is introduced to address terminal constraint satisfaction issues.The comparison experiments with other intelligent algorithms verify the superiority of this algorithm in terms of convergence speed,convergence stability and optimization efficiency.Furthermore,simulations in real scenarios with perceptual delay demonstrate the effectiveness of this algorithm for planning pursuit strategies.Finally,the causal relation between terminal distance of both sides in the game and the target spacecraft's maneuvering capabilities,perception delay time is explored.关键词
脉冲推力/轨道追逃博弈/追踪策略/改进蜣螂优化算法/最小距离Key words
impulsive thrust/orbital pursuit-evasion game/pursuing strategy/improved dung beetle optimization algorithm/minimum distance分类
航空航天引用本文复制引用
郭延宁,李高健,于永彬..基于改进蜣螂优化的GEO轨道多脉冲追逃博弈[J].中国空间科学技术,2024,44(4):1-10,10.基金项目
国家自然科学基金(62273118,12150008,61973100) （62273118,12150008,61973100）
黑龙江省自然科学基金(LH2022F023) （LH2022F023）
