基于双种群进化算法的对地观测卫星一体化调度研究

Research on Integrated Scheduling of Earth Observation Satellites Based on Dual-population Evolutionary Algorithm

综合考虑卫星成像观测与成像数据回传2个阶段,针对对地观测卫星一体化调度问题,构建了对地观测卫星一体化调度模型。模型考虑了卫星一体化调度问题中所包含的可见时间窗口约束、逻辑时间约束、姿态机动时间约束以及天线校对时间约束等多种约束条件,并综合最小数据获取失败率和最低能耗使用率设计了多目标优化数学模型。结合贪婪策略设计了针对卫星一体化调度模型的双种群进化算法,基于模拟数据构建仿真算例,通过不同场景下的测试说明了本算法能够有效地解决卫星一体化调度问题。

Considering data acquisition and data transmission simultaneously,an integrated scheduling model for earth observation satellites is constructed.Visible time window constraints,logical time constraints,attitude maneuver time constraints and antenna set-up time constraints are considered in this model,and a multi-objective optimization model with minimum failure rate and minimum energy usage is designed.Finally,a dual-population evolutionary algorithm with greedy strategy is designed for the satellite integrated scheduling model,and simulation cases under different scenarios are constructed based on simulated data to illustrate that this algorithm can effectively solve the satellite integrated scheduling problem.