面向应急任务卫星鲁棒性规划模型及算法

Emergency Task Oriented Satellite Robust Mission Planning Model and Algorithm

为解决常规卫星任务规划方案面对应急任务插入时,调整后的方案相对于原始方案差异较大,卫星重调度难度大的问题,本文提出总时间重叠度及总任务执行时长两项鲁棒性指标,建立面向应急任务卫星鲁棒性规划模型,并基于经典的多目标进化算法NSGA-П设计卫星鲁棒性任务规划算法求解。仿真实验表明新应急任务到来时,使用该方法得到的卫星鲁棒性规划方案较常规卫星任务规划方案及考虑邻域指标的鲁棒性卫星任务规划方案,更易于调整,引起的新老调度方案差异相对较小,卫星能量消耗也相对较低。

In order to reduce the difference between original satellite schedule and new adjusted one for emergency task,this paper proposes robust indicators based on overlap time & the total task execution time,and establishes robust imaging satellite mission planning model in emergency situation,then designs robust satellite mission planning algorithm,based on classic multi-objective evolutionary algorithm NSGA-П,to solve the model.The simulation results show that overlaptime&total task execution time indicators of satellite schedule which obtained by the method above,compared to that of schedules which just consider task weight-sum and which consider task weight-sum and schedule’s neighborhood size,tend to be more excellent when these schedules’task weight-sum indicators are approximate,so when new emergency task arrives,the schedule,obtained by the method proposed by this paper,is easier to adjust and the difference between the new schedule and the old one is smaller and cosumes less energy.