| Citation: | LIU Senqi, WANG Hong, YU Ningyu, et al. Weapon-target assignment in UAV cluster based on pheromone heuristic wolf pack algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 297-305. doi: 10.13700/j.bh.1001-5965.2020.0208(in Chinese)
|
Unmanned Aerial Vehicle (UAV) cluster operation is an important mode of intelligent warfare in the future. In order to give full play of the overall operational advantages of UAV cluster, a mathematical model is constructed to solve the Weapon-Target Assignment (WTA) problem in UAV cluster attacks and obtain the optimal scheme. The constraints of mission completion, effective killing and attack consumption are established in the model, which can meet the requirements of the mission, and also save the consumption of UAV combat units to maintain the power of UAV cluster. The improved Wolf Pack Algorithm (WPA) with scouting and summoning operators is used to solve the model. To obtain the higher global optimization efficiency and avoid trapping in local optimum, the weapon-target assignment in UAV cluster attack based on Pheromone Heuristic Wolf Pack Algorithm (PHWPA) is proposed to improve WPA's scouting behavior and renewable mechanism by using pheromone heuristic rules from Ant Colony Optimization (ACO). The simulation results show that the proposed method is effective. Compared with several algorithms, PHWPA has more efficient search ability. The proposed method can provide support for firepower planning of UAV cluster.
| [1] |
罗德林, 徐阳, 张金鹏. 无人机集群对抗技术新进展[J]. 科技导报, 2017, 35(7): 26-31. https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201707011.htm
LUO D L, XU Y, ZHANG J P. New progresses on UAV swarm confrontation[J]. Science & Technology Review, 2017, 35(7): 26-31(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201707011.htm
|
| [2] |
牛轶峰, 肖湘江, 柯冠岩. 无人机集群作战概念及关键技术分析[J]. 国防科技, 2013, 34(5): 37-43. https://www.cnki.com.cn/Article/CJFDTOTAL-GFCK201305007.htm
NIU Y F, XIAO X J, KE G Y. Operation concept and key techniques of unmanned aerial vehicle swarms[J]. National Defense Science & Technology, 2013, 34(5): 37-43(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GFCK201305007.htm
|
| [3] |
段海滨, 申燕凯, 王寅, 等. 2018年无人机领域热点评述[J]. 科技导报, 2019, 37(3): 82-90. https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201903015.htm
DUAN H B, SHEN Y K, WANG Y, et al. Review of technological hot spots of unmanned aerial vehicle in 2018[J]. Science & Technology Review, 2019, 37(3): 82-90(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201903015.htm
|
| [4] |
LLOYD S P, WITSENHAUSEN H S.Weapon allocations is NP-complete[C]//IEEE Summer Conference on Simulation.Piscataway: IEEE Press, 1986: 88-95.
|
| [5] |
张永利, 计文平, 宋本钦. 舰空导弹对空中目标打击辅助决策研究[J]. 指挥控制与仿真, 2019, 41(3): 19-23. https://www.cnki.com.cn/Article/CJFDTOTAL-QBZH201903007.htm
ZHANG Y L, JI W P, SONG B Q. Research on auxiliary decision of surface-to-air missiles strike to air targets[J]. Command Control & Simulation, 2019, 41(3): 19-23(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-QBZH201903007.htm
|
| [6] |
董朝阳, 路遥, 王青. 改进的遗传算法求解火力分配优化问题[J]. 兵工学报, 2016, 37(1): 97-102. https://www.cnki.com.cn/Article/CJFDTOTAL-BIGO201601015.htm
DONG C Y, LU Y, WANG Q. Improved genetic algorithm for solving firepower distribution[J]. Acta Armamentarii, 2016, 37(1): 97-102(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-BIGO201601015.htm
|
| [7] |
吴凯, 徐利, 孙海涛. 防空作战火力资源优化分配研究[J]. 空天防御, 2019, 2(2): 5-8. https://www.cnki.com.cn/Article/CJFDTOTAL-KTFY201902002.htm
WU K, XU L, SUN H T. Research on optimal assignment of fire resources in air-defense operations[J]. Air & Space Defense, 2019, 2(2): 5-8(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KTFY201902002.htm
|
| [8] |
罗德林, 段海滨, 吴顺详, 等. 基于启发式蚁群算法的协同多目标攻击空战决策研究[J]. 航空学报, 2006, 27(6): 1166-1170. https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB200606034.htm
LUO D L, DUAN H B, WU S X, et al. Research on air combat decision-making for cooperative multiple target attack using heuristic ant colony algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(6): 1166-1170(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB200606034.htm
|
| [9] |
段海滨, 丁全心, 常俊杰, 等. 基于并行蚁群优化的多UCAV任务分配仿真平台[J]. 航空学报, 2008, 29(S): S192-S197. https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB2008S1029.htm
DUAN H B, DING Q X, CHANG J J, et al. Multi-UCAVs task assignment simulation platform based on parallel ant colony optimization[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(S): S192-S197(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB2008S1029.htm
|
| [10] |
魏政磊, 赵辉, 黄汉桥, 等. 基于SAGWO算法的UCAVs动态协同任务分配[J]. 北京航空航天大学学报, 2018, 44(8): 1651-1664. doi: 10.13700/j.bh.1001-5965.2017.0589
WEI Z L, ZHAO H, HUANG H Q, et al. Dynamic UCAVs cooperative task allocation based on SAGWO algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(8): 1651-1664(in Chinese). doi: 10.13700/j.bh.1001-5965.2017.0589
|
| [11] |
李俨, 董玉娜. 基于SA-DPSO混合优化算法的协同空战火力分配[J]. 航空学报, 2010, 31(3): 626-631. https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB201003034.htm
LI Y, DONG Y N. Weapon-target assignment based on simulated annealing and discrete particle swarm optimization in cooperative air combat[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(3): 626-631(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HKXB201003034.htm
|
| [12] |
顾佼佼, 赵建军, 颜骥, 等. 基于MODPSO-GSA的协同空战武器目标分配[J]. 北京航空航天大学学报, 2015, 41(2): 252-258. doi: 10.13700/j.bh.1001-5965.2014.0119
GU J J, ZHAO J J, YAN J, et al. Cooperative weapon-target assignment based on multi-objective discrete particle swarm optimization-gravational search algorithm in air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(2): 252-258(in Chinese). doi: 10.13700/j.bh.1001-5965.2014.0119
|
| [13] |
李天龙, 张军超. 基于融合算法的空-地多目标攻击火力分配[J]. 电光与控制, 2019, 26(11): 56-59. https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ201911013.htm
LI T L, ZHANG J C. Air-to-ground multi-target attack firepower assignment based on fusion algorithm[J]. Electronics Optics & Control, 2019, 26(11): 56-59(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ201911013.htm
|
| [14] |
邱少明, 胡宏章, 杜秀丽, 等. 基于DDE改进蝙蝠算法的动态火力分配方法[J]. 现代防御技术, 2019, 47(6): 61-67. https://www.cnki.com.cn/Article/CJFDTOTAL-XDFJ201906009.htm
QIU S M, HU H Z, DU X L, et al. Dynamic fire distribution method using improved bat algorithm based on DDE[J]. Modern Defence Technology, 2019, 47(6): 61-67(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XDFJ201906009.htm
|
| [15] |
吴虎胜, 张凤鸣, 吴庐山. 一种新的群体智能算法——狼群算法[J]. 系统工程与电子技术, 2013, 35(11): 2430-2438. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201311034.htm
WU H S, ZHANG F M, WU L S. New swarm intelligence algorithm-Wolf pack algorithm[J]. Systems Engineering and Electronics, 2013, 35(11): 2430-2438(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201311034.htm
|
| [16] |
吴虎胜, 张凤鸣, 战仁军, 等. 求解0-1背包问题的二进制狼群算法[J]. 系统工程与电子技术, 2014, 36(8): 1660-1667. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201408035.htm
WU H S, ZHANG F M, ZHAN R J, et al. A binary wolf pack algorithm for solving 0-1 knapsack problem[J]. Systems Engineering and Electronics, 2014, 36(8): 1660-1667(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201408035.htm
|
| [17] |
吴虎胜, 张凤鸣, 战仁军, 等. 利用改进的二进制狼群算法求解多维背包问题[J]. 系统工程与电子技术, 2015, 37(5): 1084-1091. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201505018.htm
WU H S, ZHANG F M, ZHAN R J, et al. Improved binary wolf pack algorithm for solving multidimentional knapsack problem[J]. Systems Engineering and Electronics, 2015, 37(5): 1084-1091(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTYD201505018.htm
|
| [18] |
刘永兰, 李为民, 吴虎胜, 等. 基于狼群算法的无人机航迹规划[J]. 系统仿真学报, 2015, 27(8): 1838-1843. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201508028.htm
LIU Y L, LI W M, WU H S, et al. Track planning for unmanned aerial vehicles based on wolf pack algorithm[J]. Journal of System Simulation, 2015, 27(8): 1838-1843(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201508028.htm
|
| [19] |
惠晓滨, 郭庆, 吴娉娉, 等. 一种改进的狼群算法[J]. 控制与决策, 2017, 32(7): 1164-1172. https://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201707002.htm
HUI X B, GUO Q, WU P P, et al. An improved wolf pack algorithm[J]. Control and Decision, 2017, 32(7): 1164-1172(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201707002.htm
|
| [20] |
钱荣鑫. 一种基于文化机制的狼群算法[J]. 信息技术, 2015, 39(12): 98-102. https://www.cnki.com.cn/Article/CJFDTOTAL-HDZJ201512026.htm
QIAN R X. A wolf pack algorithm based on cultural mechanism[J]. Information Technology, 2015, 39(12): 98-102(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HDZJ201512026.htm
|
| [21] |
DORIGO M, MANIEZZO V, COLORNI A. The ant system optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B, 1996, 26(1): 1-13. http://www.emeraldinsight.com/servlet/linkout?suffix=b18&dbid=16&doi=10.1108%2F03684920210428218&key=10.1109%2F3477.484436
|
| [22] |
段海滨. 蚁群算法原理及应用[M]. 北京: 科学出版社, 2005: 24-29.
DUAN H B. Principle and application of ant colony algorithm[M]. Beijing: Science Press, 2005: 24-29(in Chinese).
|
Figures(5) / Tables(3)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
