摘要
Abstract
A scheduling model for space debris observation based on particle swarm optimization(PSO)algo-rithm is proposed to solve the problem in the current space debris observation process,such as fewer observation resources,more target debris,complex observation constraints,and an excessively large solution space.The basic time interval is adopted as the scheduling unit and encoded into the particle dimension to generate the observation schemes.For different observation equipment,the objective function is designed from three aspects:the number of debris being observed,the load balancing of the equipment,and the observation priority.Four scheduling rules are presented:maximize the observation time of a single piece of equipment for debris,ensure that debris are ob-served by different types of equipment,minimize the number of debris observation arcs,and keep the field of view or beam of the equipment fixedly directed at the target.Finally,an observation scenario involving a set of ra-dar,an optical device and 30 pieces of randomly generated debris is set up to test the scheduling capability of the model.The simulation results indicate that the observation scheduling model presented in this paper is viable,that 93.3%of the debris are observed at least once by both the radar and the optical device,and that 96.7%of the de-bris have an observation duration of more than 30 minutes.关键词
空间碎片观测/空间监视雷达/资源调度/粒子群算法Key words
space debris observation/space surveillance radar/resource scheduling/particle swarm optimiza-tion(PSO)algorithm分类
信息技术与安全科学
