Journal
ACTA ASTRONAUTICA
Volume 177, Issue -, Pages 577-587Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actaastro.2020.08.013
Keywords
Alfdectric geostationary satellite system; Low thrust transfer; Multi model fusion; Metamodel; Multi-objective optimization
Categories
Funding
- National Science Fund for Distinguished Young Scholars of China [11525208]
- Chinese Postdoctoral Science Foundation [2019M660668]
- National Natural Science Foundation of China [51675047, 11372036]
Ask authors/readers for more resources
To reduce the transfer time and radiation damage of all-electric geostationary satellites, this article develops a metamodel based multi-objective optimization scheme for low-thrust geostationary Earth orbit transfers. A multi-stage control strategy is employed to convert the optimal Earth orbital transfer problem into a parameterized multi-objective optimization problem with minimum total transfer time and proton displacement dose objectives. Based on the notion of multi-model fusion, the multi-fidelity system dynamics and radiation damage models are established to reduce the optimization cost. Furthermore, a novel adaptive Co-Kriging based multiobjective optimization method is proposed to effectively solve the multi-objective optimization problem with multi-fidelity models. In this approach, Co-Kriging metamodels are constructed using the multi-fidelity data to approximate the time-consuming low-thrust transfer models for optimization. And the Co-Kriging metamodels are adaptively refined by the infill samples to explore the Pareto frontier efficiently. Finally, a real-world allelectric geostationary satellite transfer example is investigated. The results show that a number of non-dominated low-thrust trajectories are successfully obtained with limited computational budget. Moreover, the total transfer time and displacement damage dose are significantly reduced after optimization, which illustrates the effectiveness of the metamodel based multi-objective low-thrust transfer optimization scheme.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available