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面对深空探测过程中环境的不确定性和扰动,航天器需要利用任务规划技术实现自主控制。航天器应用规划算法时,需要考虑到执行活动时满足的时间约束和资源约束。通过分析资源约束之间的关系,提出了可重复资源在规划执行时的可分配处理方法,和判断资源变量是否满足的可分配性条件。通过航天器仿真算例,验证了可重复资源的可分配处理方法在规划执行时的有效性。
In the face of the uncertainties and disturbances in the environment of deep space exploration, spacecraft need to utilize autonomous mission planning techniques to achieve autonomous control. Spacecraft application planning algorithms need to take into account the time constraints and resource constraints that are met when performing activities. By analyzing the relationship between resource constraints, the distributive conditions of allocable resources in planning execution are put forward and the distributive conditions for judging resource variables are satisfied. Through the simulation examples of spacecraft, it verifies the effectiveness of allocable processing of repeatable resources when planning execution.