Multi-objective optimization of earth cooperative observation hybrid satellite constellation

对地协同观测混合星座多目标优化设计

¹ State Key Laboratory of Astronautic Dynamics, Xi'an Satellite Control Center, Xi'an 710043, China
² School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
³ QIAN Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China
⁴ Unit 91515, People's Liberation Army, Sanya 572016, China

Received: 15 May 2020

Abstract

As the demand for comprehensiveness, accuracy, and data fast return of satellite remote sensing information grows, a hybrid constellation with permanent inter-satellite link becomes an inevitable choice for earth cooperative observation. The models for the objective function for global coverage, regional revisit detained survey duration, spatial resolution, inter-satellite links, and the cost of constellation deployment are established firstly, and the constraints like the ground trace repeating are dealt skillfully. The layered multi-objective optimization frame is designed for solving this problem. The example explains that present models distribute the multiple objective functions and constraints, and the result Pareto solution set can show several performance features of the hybrid satellite constellation, it may support the satellite constellation engineering argumentation and selection on merit.

摘要

随着卫星遥感信息全面性、精确性和快速回传需求的增长，满足永久星间链路的对地协同观测混合星座成为必然选择。建立了全球普查覆盖率、区域详查时间分辨率、空间分辨率、星间链路和星座部署代价等优化指标计算模型，并巧妙处理轨道回归条件等约束条件，设计的分层优化策略可以计算混合星座多目标优化设计问题。算例表明，提出的方法能综合考虑混合星座多方面设计指标和约束条件，计算的Pareto解集能反映混合星座多方面性能品质，可支持工程实施方案论证和择优。