系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (6): 1797-1804.doi: 10.12305/j.issn.1001-506X.2023.06.23

• 制导、导航与控制 • 上一篇    

分布式卫星集群博弈任务均衡分配方法

钱寒雨1, 田晓曼1, 肖冰1,*, 曹璐2, 王锐1, 吴西伟1   

  1. 1. 西北工业大学自动化学院,陕西 西安 710072
    2. 军事科学院国防科技创新研究院,北京 100071
  • 收稿日期:2022-05-20 出版日期:2023-05-25 发布日期:2023-06-01
  • 通讯作者: 肖冰
  • 作者简介:钱寒雨 (1997—),男,硕士研究生,主要研究方向为集群任务规划
    田晓曼 (1998—),女,硕士研究生,主要研究方向为模块化卫星设计
    肖冰 (1986—),男,教授,博士,主要研究方向为无人系统导航、制导与控制技术
    曹璐 (1986—),男,研究员, 博士,主要研究方向为卫星导航、控制与动力学技术
    王锐 (1997—),男,硕士研究生,主要研究方向为无人机群自组网与无线通信
    吴西伟 (1994—),男,博士研究生,主要研究方向为卫星集群导航、制导与控制技术

Balanced task allocation method for distributed satellite swarm game

Hanyu QIAN1, Xiaoman TIAN1, Bing XIAO1,*, Lu CAO2, Rui WANG1, Xiwei WU1   

  1. 1. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
    2. National Innovation Institute of Defense Technology, Academy of Military Sciences, Beijing 100071, China
  • Received:2022-05-20 Online:2023-05-25 Published:2023-06-01
  • Contact: Bing XIAO

摘要:

针对分布式卫星集群博弈任务中的分配不均衡问题,提出了一种基于偏好联盟博弈(hedonic coalition game,HCG)的任务分配方法。首先,在考虑燃料和时间最优的卫星集群任务分配模型的基础上,引入对敌毁伤概率以适应集群博弈背景;其次,为保证分配结果的均衡性,引入HCG设计个体联盟特征函数;最后,考虑卫量集群的一对多作战分配方式难以保证局部兵力优势,在一致性拍卖算法(consensus based auction algorithm,CBAA)结构上拓展性地提出了一种多对一任务分配算法。仿真结果表明,该算法在全局效益接近经典集中式算法全局效益98%的前提下,时间约为经典算法的70%,且该算法具有一定的问题规模拓展性。

关键词: 分布式卫星集群, 任务分配, 偏好联盟博弈, 一致性拍卖算法

Abstract:

Aiming at the unbalanced distribution of task allocation in distributed satellite swarm game, a task allocation method based on hedonic coalition game (HCG) is proposed in this paper. Firstly, the probability of enemy damage is introduced to adapt to the background of swarm game based on the satellite swarm task allocation model which considers the optimal fuel and time. Secondly, to ensure the balance of the allocation results, the HCG is introduced to design the individual coalition characteristic function. Finally, a single-task and multi-robot task allocation algorithm is designed based on consensus based auction algorithm (CBAA) structure, considering that it is difficult to guarantee the local force advantage of satellite swarm one-to-multiple combat mode. The simulation results show that the proposed algorithm could achieve 98% of the global efficiency and 70% of the time of the classical algorithm, and the proposed algorithm has a certain scalability of the problem size.

Key words: distributed satellite swarm, task allocation, hedonic coalition game (HCG), consensus based auction algorithm (CBAA)

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