Planning and Scheduling of an Agile EOS Combining On-ground and On-board Decisions

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Li, Jufang^1 ; Chi, Yan^1

School of Management, Hunan International Economics University, Changsha

410205, China^1

关键词: Complex constraints;    Computing capability;    Decision framework;    Dynamics constraints;    Earth observing satellite;    Management and controls;    Planning and scheduling;    Simulation systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/3/032023/pdf
DOI  :  10.1088/1757-899X/382/3/032023

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The Chinese new generation of agile Earth Observing Satellites (EOS) has more freedom and more choices on when and how to make an observation, which brings great challenges on planning and scheduling operations due to more complex and detailed mission dynamics constraints. This paper proposes a decision framework combining both on-board and on-ground part to solve the new problem. The on-ground part makes initial operation plans periodically based on estimated mission dynamics. The on-board part will revise the initial plan according to actual mission dynamics when there is no opportunity to communicate with the ground. The main management and control process is divided into four steps and the planning and scheduling problem is tackled in an integrative way. We also explain details of the rule-based heuristic algorithms which are efficient and fitful for complex constraints and limited on-board computing capability. The framework is applied to a simulation system which aims to optimize the satellite designing process. Results of experiments show that the framework and methods are reasonable and feasible.