Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (8): 2514-2520.doi: 10.12305/j.issn.1001-506X.2023.08.26

• Guidance, Navigation and Control • Previous Articles     Next Articles

Planning of multi-station accessing multi-satellite based on physical planning

Liyao WANG1,2,3, Jin ZHANG1,2,*, Hongxi ZHOU4, Kemao WANG1,2   

  1. 1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
    2. Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions, Changsha 410073, China
    3. Unit 95031 of PLA, Guangzhou 510000, China
    4. Unit 63757 of PLA, Jiamusi 154002, China
  • Received:2022-06-14 Online:2023-07-25 Published:2023-08-03
  • Contact: Jin ZHANG

Abstract:

With the increase of on-orbit satellites, there is an urgent need for effective supervision of many satellites. It is necessary to study how to reasonably allocate and schedule limited ground resources to satellite access. An assignment and planning method for multi-station accessing multi-satellite is proposed based on physical planning. The accessing window assignments of the ground facilities to the satellites are used as the design variables, the adjacent window's minimum interval of the same ground facility and the maximum accessing number of a ground facility are considered as the constraints, and the end time of the task, the access benefit based on success rate and the access cost are designed as the objective functions, and then an accessing and planning model of multi-station incompletely accessing multi-satellite with the consideration of the cost and the benefit is established. A single objective function is reasonably mapped from the multiple objective functions by physical programming, and the differential evolution algorithm is used for optimization. The proposed method is applied to solving a small-scale problem with three stations and four satellites and a large-scale problem with 20 stations and 96 satellites. The case's results show that the proposed method can obtain the solution of trade-off of multi-objective preference in line with the constraints. Compared with the weighting method and the constraint method, the solution is more stable and efficient, and each index can be optimized.

Key words: multi-station accessing multi-satellite, mission assignment, multi-objective optimization, physical programming, differential evolution

CLC Number: 

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