Online scheduling of distributed Earth observation satellite system under rigid communication constraints

2020 ◽  
Vol 65 (11) ◽  
pp. 2475-2496 ◽  
Author(s):  
Guoliang Li
Keyword(s):  
Satellite System ◽  
Online Scheduling ◽  
Earth Observation ◽  
Communication Constraints ◽  
Earth Observation Satellite

scholarly journals Genetic Programming Method for Satellite System Topology and Parameter Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Jinhui Li ◽  
Yunfeng Dong ◽  
Ming Xu ◽  
Hongjue Li
Keyword(s):  
Genetic Programming ◽  
System Design ◽  
Evaluation System ◽  
Satellite System ◽  
Earth Observation ◽  
Tree Structure ◽  
Programming Method ◽  
Earth Observation Satellite ◽  
Physical Fields ◽  
System Topology

In this paper, a genetic programming method for satellite system design is proposed to simultaneously optimize the topology and parameters of a satellite system. Firstly, the representation of satellite system design is defined according to the tree structure. The genetic programming method is designed based on that representation. Secondly, according to the tree structure of different satellite schemes, different multiscale satellite models are established, in which various physical fields couple together. Then, an evaluation system is also proposed to test the performances of different satellite schemes. Finally, the application to the design of an earth observation satellite demonstrates the effectiveness of the proposed method.

An Intelligent Approach to Dynamic Scheduling System of Earth Observation Satellites

2011 ◽  
Vol 186 ◽  
pp. 591-595
Author(s):  
Yao Feng ◽  
Ren Jie He ◽  
Ju Fang Li ◽  
Li Ning Xing
Keyword(s):  
Dynamic Scheduling ◽  
Satellite System ◽  
Earth Observation ◽  
Benchmark Problems ◽  
High Quality ◽  
Scheduling System ◽  
Earth Observation Satellite ◽  
Earth Observation Satellites ◽  
Intelligent Approach ◽  
Hierarchical Genetic Algorithm

With the increased number of earth observation satellites, the process of acquiring high quality solution schedule for multi-satellite, multi-orbit and multi-user is more difficult than before. The multi-objective hierarchical genetic algorithm with preference and dynamic heuristic algorithm are proposed to solve the dynamic scheduling problem of earth observation satellite system. The experimental results performed on some benchmark problems suggest that this proposed approach is effective to the dynamic scheduling system.

Optimization of Earth Observation Satellite System Based on Design of Experiment and Surrogate Model

2011 ◽  
Vol 291-294 ◽  
pp. 2595-2600
Author(s):  
Xiao Lu Liu ◽  
Ying Guo Chen ◽  
Ying Wu Chen
Keyword(s):  
Design Of Experiment ◽  
Surrogate Model ◽  
General Pattern ◽  
Satellite System ◽  
Earth Observation ◽  
Pattern Search ◽  
Design Variables ◽  
Earth Observation Satellite ◽  
Information Optimization

Earth observation satellite system (EOSS) is the main space platform collecting ground information. Optimization of EOSS is difficult, as it is a complex system referring a great deal of design variables and uncertain factors. Therefore, an optimization framework based on design of experiment and surrogate model is proposed. Design of experiment is used to generate simulation plan, which will greatly cut down cost of simulation. Then surrogate model is built to analyze simulation data and approximate real EOSS. Genetic algorithm and improved general pattern search method are adopted to solve the model. According to the framework, a case study is carried out. The final results illustrate the framework is useful and effective for the problem of EOSS optimization.

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