Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (8): 2612-2620.doi: 10.12305/j.issn.1001-506X.2022.08.26

• Guidance, Navigation and Control • Previous Articles     Next Articles

Optimization method for three-impulse rendezvous under multi-constraints

Junlong LI1, Songzhou LI2, Di ZHOU2,*   

  1. 1. Beijing Institute of Electronic System Engineering, Beijing 100854, China
    2. School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
  • Received:2021-11-08 Online:2022-08-01 Published:2022-08-24
  • Contact: Di ZHOU

Abstract:

The optimal three-impulse remote rendezvous between coplanar circles under multi-constraints including rendezvous time constraint and transfer path constraint is studied for the fast approaching and fixed-point observation mission in space. The Hill guidance and particle swarm optimization are combined to solve the optimal solution of transfer path point and transfer time. An equivalent transformation is proposed to transform the original variables to be solved into a new set of variables which are independent of each other. By applying this transformation algorithm, the original constraints are converted into the searching space boundaries which are easy to describe and cope with, such that it is convenient to perform the initialization and conduct the algorithm design. Finally, two simulation experiments of optimal three-impulse rendezvous are given. The results not only verify effectiveness of the proposed algorithm, but also indicate that compared with the conventional penalization method used to deal with constraints, the algorithm adopting the proposed equivalent transformation shows more powerful search ability and stronger stability.

Key words: three-impulse rendezvous, Hill guidance, particle swarm optimization, multi-constraint, equivalent transformation

CLC Number: 

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