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基于混合算法的航天器軌道規劃方法
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中國電子科技集團第五十四研究所

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Spacecraft orbit planning method based on a hybrid algorithm
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    摘要:

    空間在軌服務(wù)過(guò)程中,當目標航天器周?chē)腥舾尚⌒l星環(huán)繞時(shí),服務(wù)航天器要避開(kāi)小衛星的安全范圍,與目標航天器成功交會(huì )并進(jìn)行在軌服務(wù),航天器的機動(dòng)軌道規劃是其重要前提。在路徑規劃中,遺傳算法應用廣泛,但是求解實(shí)際問(wèn)題的時(shí)間容易受到染色體基因等算子數目的影響,求解效率未得到保證。提出了一種混合遺傳算法,將遺傳算法全局搜索能力和模擬退火算法較強的局部搜索能力進(jìn)行整合,以服務(wù)航天器機動(dòng)軌道的路徑安全、任務(wù)時(shí)間、燃料消耗、總路程等為約束條件,并對算子進(jìn)行特殊設計,規劃出最優(yōu)機動(dòng)軌道路徑。通過(guò)場(chǎng)景假設和仿真實(shí)驗證明,該混合遺傳算法能夠規劃出符合約束條件的最優(yōu)機動(dòng)軌道路徑,并且極大提高了求解效率。

    Abstract:

    In the process of space on-orbit service, when there are several small satellites around the target spacecraft, the serving spacecraft must avoid the safety range of the small satellites, successfully rendezvous with the target spacecraft, and perform on-orbit services. The maneuvering orbit planning of the service spacecraft is an important indicator. Genetic algorithm has a wide range of applications in path planning, but the time to solve actual problems is easily affected by the number of operators such as chromosome genes, and the solution efficiency cannot be guaranteed. A hybrid genetic algorithm is proposed, which integrates the global search capability of the genetic algorithm and the strong local search capability of the simulated annealing algorithm and taking the path safety, mission time, fuel consumption, total distance, etc. of the maneuvering orbit serving the spacecraft as constraints, and special design of the operator to plan the optimal maneuvering orbit path. Through scenario assumptions and simulation experiments, it is proved that the hybrid genetic algorithm can plan the optimal maneuver orbit path that meets the constraints, and greatly improves the efficiency of the solution.

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劉東興,周旭.基于混合算法的航天器軌道規劃方法計算機測量與控制[J].,2021,29(2):212-217.

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歷史
  • 收稿日期:2020-12-04
  • 最后修改日期:2020-12-15
  • 錄用日期:2020-12-15
  • 在線(xiàn)發(fā)布日期: 2021-02-08
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