Multi-satellite cooperative attacking path optimization method based on genetic algorithm

被引：2
|
作者：
Liu Y. [1 ]
Li Y. [1 ]
Hao Y. [1 ]
Zhao L. [1 ]
机构：
[1] College of Automation, Harbin Engineering University, Harbin
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2017年 / 39卷 / 08期
关键词：
Attacking satellite; Dynamic model; Genetic algorithm; Multi-satellite collaboration; Path planning;
D O I：
10.3969/j.issn.1001-506X.2017.08.22
中图分类号：
学科分类号：
摘要：
In space attack-defense, the key factor of hitting the target satellite is the interception satellite path planning. Multi-satellite cooperative method is better than single satellite. Based on C-W equation, a relative motion equation of spacecraft is built. Using the multi-satellite cooperative attacking method, the optimal strategy based on battlefield situation is made with the genetic algorithm. The operating parameters and genetic algorithm are optimized to improve the adaptive ability of the algorithm. The simulation result shows that the optimal interception method can meet the requirement of interception mission more flexible in assumption of pulse thrust. The collaboration of interception satellite can improve operational effectiveness. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：1815 / 1822
页数：7
相关论文
共 20 条
  • [1] You S.H., Lee Y.H., Lee W.J., Parameter estimations of a storm surge model using a genetic algorithm, Natural Hazards, 60, 3, pp. 1157-1165, (2012)
  • [2] Wang C., Li J., Jing N., Et al., A distributed cooperative dynamic task planning algorithm for multiple satellites based on multi-agent hybrid learning, Chinese Journal of Aeronautics, 24, 4, pp. 493-505, (2011)
  • [3] Deng H., Research on control and planning of terminal intercepting orbit for the interceptor, (2012)
  • [4] Wang C., Tan F., Tan S.L., Research on space interception strategy of interceptors, Command Control and Simulation, 37, 3, pp. 65-68, (2015)
  • [5] Shen L.C., Zhu Y.F., Zhu H.Y., Theories and Methods of Autonomous Cooperative Control for Multiple UAVs, (2012)
  • [6] Wang X.F., Zheng Y.Y., Lin H., 4D integrated guidance and control law for missiles cooperative engagement, Systems Engineering and Electronics, 37, 4, pp. 874-881, (2015)
  • [7] Zhang C.Q., Zheng J.G., Qian J., Comparison of coding schemes for genetic algorithms, Application Research of Computers, 23, 3, pp. 819-822, (2011)
  • [8] Matthew B., Simon L., Elizabeth A., Path planning for improved visibility using a probabilistic road map, IEEE Trans. on Robotics, 26, 1, pp. 195-200, (2010)
  • [9] Bi P., Luo J.J., Zhang B., Cooperate control algorithm for spacecraft flying based on consensus theory, Journal of Astronautics, 31, 1, pp. 70-74, (2010)
  • [10] Xu D.J., Liu M.K., Shen F., Et al., Fast DGPS integer ambiguity resolution using adaptive genetic aigorithm, Acta Aeronautica et Astronautica Sinica, 34, 2, pp. 371-377, (2013)
12