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A System Dynamics Model for Analyzing Swarming UAVs Air Combat System

机译:用于分析成群无人机空战系统的系统动力学模型

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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.
机译:最近,蜂拥而至的无人飞行器(UAV)空战正在成为战斗中一种新的高效战斗模式。评估无人机在拥挤的空战系统中的作用以及分析相应的作战因素是武器开发评估和军事装备系统建设的关键部分。系统动力学(SD)理论是一种通过分析战斗反馈来研究防御系统的好方法,但目前SD理论在防御中的应用受到限制。通过将攻击武器分为红,蓝两军,建立了SD模型,用于对无人机空战系统进行编队,以模拟作战过程。考虑到成群无人机的特点,并从Lanchester方程和操作回路的概念中吸取经验教训,在SD模型中构建了因果图和库存流图。仿真结果表明,无人机起着重要作用,可以在空战系统中分担高价值武器的责任。最终,在参数敏感性分析中研究了一些影响因素,对识别重要战场因素和提高作战效率具有重要意义。

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