针对天基观测资源不足问题,考虑一类对地遥感卫星具备空间目标观测能力,给出卫星资源空闲窗口、成像活动时间和卫星工况三类观测约束。在分析任务最大完成率、原方案最小变动率和最早任务结束时间的基础上,提出了基于时间约束的天基观测补网规划模型和算法。该算法将遗传算法和吱呀轮算法有效融合,形成两种算法优势互补。仿真算例不仅说明了增加可观测资源数量对完成天基观测任务是有效的,也验证了遗传与吱呀轮组合算法能提高补网规划问题的求解质量和速度。研究结果表明一类对地遥感卫星在空闲时段加入天基观测补网的可行性,有利于天基观测动态调度的重用性和稳定性。

Aiming at the problem of insufficient space-based observation resources, considering that a class of Earth remote sensing satellites have the ability to observe space targets, three kinds of observation constraints are given, which are idle window of satellite resources, imaging activity time and satellite operating conditions.Based on the analysis of the maximum task completion rate, the minimum change rate of the original scheme and the earliest task end time, a space-based observation supplement network planning model and algorithm based on time constraints are proposed.The algorithm effectively integrates the genetic algorithm and the squeaky wheel algorithm to form the complementary advantages of the two algorithms.The simulation example not only shows that increasing the number of observable resources is effective for the completion of space-based observation tasks, but also verifies that the genetic and squeaky wheel combination algorithm can improve the solution quality and speed of the replenishment network planning problem.The results show that it is not only feasible for a class of Earth remote sensing satellites to join the space-based observation supplement network in idle time, but also beneficial to the reusability and stability of the dynamic scheduling about space-based observation.