Volume 42 Issue 2
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XU Ziling, LIU Yurong, FENG Zhun. Mission Planning for Astronomical Satellite Based on Genetic Algorithm under Tiling Coverage Strategy (in Chinese). Chinese Journal of Space Science, 2022, 42(2): 321-328. DOI: 10.11728/cjss2022.02.210112006
Citation: XU Ziling, LIU Yurong, FENG Zhun. Mission Planning for Astronomical Satellite Based on Genetic Algorithm under Tiling Coverage Strategy (in Chinese). Chinese Journal of Space Science, 2022, 42(2): 321-328. DOI: 10.11728/cjss2022.02.210112006
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Mission Planning for Astronomical Satellite Based on Genetic Algorithm under Tiling Coverage Strategy

doi: 10.11728/cjss2022.02.210112006 cstr: 32142.14.cjss2022.02.210112006
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2021-01-12
  • Accepted Date: 2021-04-14
  • Rev Recd Date: 2021-04-30
    • Available Online: 2022-05-25
    Abstract
  • Astronomical observation is an important means for space scientific research. ToO (Target of Opportunity), such as GW (Gravitational Wave) and GRB (Gamma Ray Burst), are significant phenomena in astronomical observation. The planning of ToO observation is an important task. Astronomy satellite planning is a complex multi-objective optimization problem. In this paper, the mission planning requirements and constraints under tiling coverage strategy are abstracted, and the ToO planning model under tiling coverage strategy is established. Based on the model, a multi-objective optimization planning algorithm TPA (ToO Planning Algorithm) based on GA (Genetic Algorithm) is designed. An example is given to illustrate the solution under different parameters, where the simulation input data is provided by JAUBERT Jean of SVOM team. The simulation result shows that the TPA can effectively solve the multi-objective task planning problem of astronomical satellites ToO under coverage strategy.

     

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