Cooperative combat task allocation of multiple aerial vehicles based on the characteristic relation

被引:0
|
作者
Yue, Chengfei [1 ]
Xue, Zhenghua [1 ,2 ]
Yao, Weiran [3 ]
Cao, Xibin [2 ]
机构
[1] Institute of Space Science and Applied Technology, Harbin Institute of Technology Shenzhen, Shenzhen,518055, China
[2] Research Center of Satellite Technology, Harbin Institute of Technology, Harbin,150001, China
[3] School of Astronautics, Harbin Institute of Technology, Harbin,150001, China
关键词
Military vehicles - Fleet operations - Optimization - Profitability;
D O I
暂无
中图分类号
学科分类号
摘要
This paper studies the task allocation problem of multiple aerial vehicles cooperative operation. Firstly, according to the characteristics of different aerial vehicle types, the concept of task adaptability is proposed to describe the relative pros and cons of different aerial vehicle types in different mission scenarios. Secondly, based on the relation of aerial vehicles between the same fleets or different fleets, a characteristic relation function is proposed to describe the impact of other aerial vehicles on their own performance when performing the same task. Thirdly, in response to the task requirements which multiple aerial vehicles complete together, a global profit index considering the task adaptability and the characteristic relation of aerial fleets is designed, and by solving the optimization problem, the multiple aerial vehicles cooperative operation benefit is maximized. Finally, for the typical aerial vehicles cooperative combat scenarios, by solving the above optimization problem, the task assignment result is obtained. The results show that the proposed global profit model is reasonable and can make full use of the advantages of multiple aerial vehicles and the relation between members inside and outside the fleet to increase the overall revenue. It has important significance for the assignment of aerial vehicles cooperative operation tasks. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:1897 / 1906
相关论文
共 50 条
  • [1] The air combat task allocation of cooperative attack for multiple unmanned aerial vehicles
    1600, Science and Engineering Research Support Society (09):
  • [2] Evolutionary Task Allocation and Cooperative Control of Unmanned Aerial Vehicles in Air Combat Applications
    Wang, Jing
    Duan, Shuai
    Ju, Shuang
    Lu, Shan
    Jin, Yaning
    ROBOTICS, 2022, 11 (06)
  • [3] Cooperative Task Allocation for Unmanned Combat Aerial Vehicles Using Improved Ant Colony Algorithm
    Tao, Jun
    Tian, Yantao
    Meng, Xiangheng
    2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 628 - +
  • [4] A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
    Chen, Teng-Yu
    Miao, Zhong-Hua
    Li, Wei-Min
    Pan, Quan-Ke
    SWARM AND EVOLUTIONARY COMPUTATION, 2024, 91
  • [5] Research on dynamic task allocation for multiple unmanned aerial vehicles
    Miao, Yongfei
    Zhong, Luo
    Yin, Yufu
    Zou, Chengming
    Luo, Zhenjun
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2017, 39 (04) : 466 - 474
  • [6] Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
    Yin, Yongfeng
    Guo, Yang
    Su, Qingran
    Wang, Zhetao
    DRONES, 2022, 6 (08)
  • [7] Cooperative task allocation method for multi-unmanned aerial vehicles based on the modified genetic algorithm
    Tan, Yifang
    Zhou, Chao
    Qian, Feng
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (06) : 1164 - 1173
  • [8] Cooperative formation control of multiple aerial vehicles based on guidance route in a complex task environment
    Guibin SUN
    Rui ZHOU
    Kun XU
    Zhi WENG
    Yuhang ZHANG
    Zhuoning DONG
    Yingxun WANG
    Chinese Journal of Aeronautics, 2020, 33 (02) : 701 - 720
  • [9] Cooperative formation control of multiple aerial vehicles based on guidance route in a complex task environment
    Sun, Guibin
    Zhou, Rui
    Xu, Kun
    Weng, Zhi
    Zhang, Yuhang
    Dong, Zhuoning
    Wang, Yingxun
    CHINESE JOURNAL OF AERONAUTICS, 2020, 33 (02) : 701 - 720
  • [10] Cooperative formation control of multiple aerial vehicles based on guidance route in a complex task environment
    Guibin SUN
    Rui ZHOU
    Kun XU
    Zhi WENG
    Yuhang ZHANG
    Zhuoning DONG
    Yingxun WANG
    Chinese Journal of Aeronautics, 2020, (02) : 701 - 720