A System Dynamics Model for Analyzing Swarming UAVs Air Combat System

Niping Jia, Zhiwei Yang, Tianjun Liao, Yajie Dou, Kewei Yang
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引用次数: 8

Abstract

Recently, the swarming unmanned aerial vehicles (UAVs) air combat is becoming a new efficient combat pattern in the battle. Assessing the role of UAVs in swarming air combat system, as well as analyzing corresponding combat factors is a crucial part in weapon development evaluation and military equipment system construction. System Dynamics (SD) theory is a good method to study the defense system by analyzing the feedbacks of the battle, but at present the application of SD theory in defense is limited. This paper established a SD model by dividing the attack weapons into Red and Blue army for swarming UAVs air combat system to simulate the combat process. Taking the characteristics of swarming UAVs into consideration and drawing lessons to the concept of Lanchester equation and operational loop, the causality diagrams and the stock-flow chart are constructed in the SD model. The simulation results reflect that the UAVs play an important role and can share the responsibility of high-value weapons in the air combat system. Eventually, some influencing factors are studied in parameter sensitivity analysis, which has great significance in identifying important battlefield factors and enhancing combat efficiency.
蜂群无人机空战系统的系统动力学模型
近年来,蜂群无人机空战正在成为一种新的高效作战模式。对无人机在集群空战系统中的作用进行评估,并分析相应的作战因素,是武器研制评估和军事装备体系建设的重要组成部分。系统动力学理论是通过分析战斗反馈来研究防御系统的一种很好的方法,但目前系统动力学理论在防御中的应用有限。本文通过将攻击武器划分为红蓝军,建立了蜂群无人机空战系统的SD模型,对其作战过程进行仿真。考虑到蜂群无人机的特点,借鉴兰彻斯特方程和作战回路的概念,在SD模型中构造了因果图和库存流程图。仿真结果表明,无人机在空战系统中发挥着重要作用,能够分担高价值武器的责任。最后,在参数灵敏度分析中研究了一些影响因素,对识别战场重要因素,提高作战效能具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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