基于改进蜣螂优化的GEO轨道多脉冲追逃博弈OA北大核心CSTPCD

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.