Computational Experiments for Abort Planning of Manned Lunar Landing Mission Based on ACP Approach
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摘要: 针对载人登月中止规划存在的不确定性因素, 提出了基于ACP (Artificial systems, computational experiments, parallel execution)方法的载人登月中止规划框架, 论述了该框架下人工系统和平行执行的初步设计, 主要讨论了计算实验设计、分析和验证过程. 针对中止规划时中止点状态误差的不确定性, 提出利用短时间的累积观测值确定中止点状态误差的计算实验方法, 并应用模拟退火单纯形混合算法求解从载人登月轨道上任一点返回地球的中止机动方案. 最后给出基于正交实验设计的计算实验示例性算例, 验证本文提出方法的有效性.Abstract: To support the abort planning with uncertain situations for manned lunar landing mission, this paper presented a framework of abort planning parallel system. Based on ACP (Artificial systems, computational experiments, parallel execution) approach, an overview of artificial systems design and parallel execution was given. Then, the design, analysis and validation of computational experiments were investigated. To determine uncertainties of the abort point, computational experiments' methods that use short-period observations were employed, and then the simulated annealing algorithm using simplex method was adopted to solve the abort planning problem to return the spacecraft from any point of lunar mission trajectory to the earth. Finally, a demonstrative example of computational experiments, based on orthogonal experiments design, was given. The results have validated the proposed approach.
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