Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (3): 320-330.doi: 10.16183/j.cnki.jsjtu.2019.376

Special Issue: 《上海交通大学学报》2021年“航空航天科学技术”专题 《上海交通大学学报》2021年12期专题汇总专辑

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Formation Satellite Reconstruction Strategy Based on NSGA-II Algorithm

SUN Hongqiang, ZHANG Zhanyue(), FANG Yuqiang   

  1. Graduate School, Space Engineering University, Beijing 101416, China
  • Received:2019-12-26 Online:2021-03-01 Published:2021-04-02
  • Contact: ZHANG Zhanyue


Aimed at the problem of avoidance strategy of formation satellites when facing the threat of space debris, a non-dominated sorting genetic algorithm (NSGA-II) is improved and used to code satellites. Besides, the improved differential evolution algorithm is used as the orbital generation model, while Pareto dominance is used to select the optimal solution set. By introducing maneuver consumption, collision probability, work efficiency, and other indicators of formation satellites, the avoidance orbits of satellite are screened to ensure that all the indicators of formation satellites are taken into account. Taking the 3-satellite formation of ocean reconnaissance satellite as an example, the phase adjustment, probability calculation, and horizontal dilution of precision (HDOP) calculation models are introduced. The optimal solution of avoiding orbits is obtained by utilzing the multi-objective optimization algorithm. The simulation results show that this method can formulate a more targeted formation satellite avoidance strategy with different objectives.

Key words: formation satellites, collision probability, multi-objective optimization, avoidance strategy

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