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Chinese Journal of Space Science ›› 2019, Vol. 39 ›› Issue (1): 129-134.doi: 10.11728/cjss2019.01.129

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Mission Planning for Small Satellite Constellations Based on Improved Genetic Algorithm

HAN Chuanqi1,2, LIU Yurong1, LI Hu1   

  1. 1 National Space Science Center, Chinese Academy of Sciences, Beijing 100190;
    2 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2018-01-02 Revised:2018-08-28 Online:2019-01-15 Published:2019-01-30

Abstract:

Based on operational features of small satellite constellation, a multi-task mission planning problem model for small satellite constellation is established, and a multi-index optimization function based on imaging task period and equilibration is proposed. Furthermore, an improved genetic algorithm involving strategies of random allocation of resources as well as elite population reservation is applied to the established model. The algorithm improves the efficiency of related solution and guarantees the convergence of the final result. The simulation result shows that the improved genetic algorithm is applicable and effective to the specific needs of mission planning problem for small satellite constellation.

Key words: Mission planning, Small satellite constellation, Improved genetic algorithm

CLC Number: