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Multi-objective optimal preliminary planning of multi-debris active removal mission in LEO

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Abstract

The goal of this paper is to develop a preliminary plan for a multi-nanosatellite active debris removal platform (MnADRP) for low-Earth-orbit (LEO) missions. A dynamic multi-objective traveling salesman problem (TSP) scheme is proposed in which three optimization objectives, i.e., the debris removal priority, the MnADRP orbital transfer energy, and the number of required nanosatellites are modeled respectively. A modified genetic algorithm (GA) is also proposed to solve the dynamic multi-objective TSP. Finally, numerical experiments involving partially real-world the debris data set are conducted to verify the efficacy of the proposed models and the solution method.

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Acknowledgments

This work was supported by National Science Foundation of China (Grant Nos. 61503304, 61374162), Fundamental Research Funds for the Central Universities (Grant No. 3102015ZY048).

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Correspondence to Yong Liu.

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Liu, Y., Yang, J., Wang, Y. et al. Multi-objective optimal preliminary planning of multi-debris active removal mission in LEO. Sci. China Inf. Sci. 60, 072202 (2017). https://doi.org/10.1007/s11432-016-0566-7

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Keywords

  • multi-debris active removal
  • optimal planning
  • multi-objective optimization
  • debris removal priority
  • genetic algorithm