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建立了初始位置、终止位置和转移时间都不固定的双冲量Lam-bert转移模型,并选用自适应模拟退火(adaptive simulated annealing,ASA)算法来寻求模型的最优解,通过与遗传算法(genetic algorithm,GA)的优化结果对比,表明ASA在该模型全局寻优中具有明显优势,可为轨道转移寻优算法的选取提供借鉴。
A two-impulse Lam-bert transfer model with initial position, end position and transfer time is established, and an adaptive simulated annealing (ASA) algorithm is used to find the optimal solution of the model. By comparing with the genetic algorithm algorithm, GA) shows that ASA has obvious advantages in global optimization of this model, which can provide reference for the selection of orbit transfer optimization algorithm.