Dynamic resource management of loitering munition group in uncertain environments

被引：0

作者：

Li B. ^{[1
]}

Liu Z. ^{[1
]}

Zhao X. ^{[1
]}

机构：

[1] Sichuan Aerospace Systems Engineering Research Institute, Chengdu

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 08期

关键词：

loitering munition group; resource management; supplementary variable; task assignment;

D O I：

10.12305/j.issn.1001-506X.2023.08.04

中图分类号：

学科分类号：

摘要：

The loitering munition group is an important development direction for future intelligent combat styles, capable of achieving full coverage carpet style containment and damage attacks. Scientific and reasonable management of tasks is an important foundation for achieving combat tasks. This article analyzes the problem of dynamic resource management firstly, and then establishes a dynamic target allocation model for loitering munition groups, and provides the main calculation steps. The advantage of using the Hungarian algorithm to quickly and efficiently solve optimization problems for balanced matching is utilized. For the battlefield situation where loitering munition and targets dynamically join in and exit, the non equilibrium matching problem is transformed into an equilibrium matching problem by using supplementary variables. Finally, typical task scenarios are analyzed to verify the effectiveness of the proposed method. © 2023 Chinese Institute of Electronics. All rights reserved.

引用

页码：2318 / 2324

页数：6

共 20 条

[1] WATTS B D., Six decades of guided munitions and battle networks: progress and prospects, (2007)
[2] MA B H., Collected works of professor Ma Baohua[M], (2013)
[3] LI B., Research on cloud ammuition system theory and method, (2014)
[4] LI J, SHEN X J, YANG C W., Et al., The development of army loitering munition and their impact on operations, Army Equipment, 23, pp. 29-31, (2015)
[5] SCHUMACHER C, CHANDLER P R, RASMUSSEN S R., Task allocation for wide area search munitions via iterative network flow, Proc. of the AIAA Guidance, Navigation, and Control Conference and Exhibit, (2002)
[6] NYGARD K E, CHANDLER P R, MEIR P., Dynamic network flow optimization models for air vehicle resource allocation, Proc. of the American Control Conference, pp. 1853-1858, (2001)
[7] SCHUMACHER C, CHANDLER P, PACHTER M, Et al., UAV task assignment with timing constraints, Proc. of the AIAA Guidance, Navigation, and Control Conference and Exhibit, (2003)
[8] SCHUMACHER C, CHANDLER P, PACHTER M, Et al., UAV task assignment with timing constraints via mixed-integer linear programming, Proc. of the AIAA Guidance, Navigation, and Control Conference and Exhibit, (2004)
[9] SHIMA T, RASMUSSEN S J, SPARKS A G, Et al., Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms, Computer & Operations Research, 33, 11, pp. 3252-3269, (2006)
[10] MARJORIED, WILLIAM N, LANCE W., UAV cooperative task assignments for a SEAD mission using genetic algorithms, Proc. of the AIAA Guidance, Navigation, and Control Conference and Exhibit, (2006)

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