基于规则推理的无人机对地攻击目标选择自主决策  

Self-determined Decision-making About Target Selection in Air-to-ground Attacking of UAV Based on Rule Reasoning

作　　者：冯志峰[1,2] 刘鸿福[1] 陈浩[1] 

机构地区：[1]国防科技大学机电工程与自动化学院 [2]解放军94669部队

出　　处：《指挥控制与仿真》2015年第4期31-35,共5页Command Control & Simulation

基　　金：国家自然科学基金项目(61403411)

摘　　要：通过研究无人作战飞机对地攻击过程中的目标选择流程及相关因素,分析归纳出确定目标攻击顺序的典型行动和裁决规则,并构建了自主决策问题模型。然后提出了一种适用于不连续通信条件下的基于规则推理的UAV自主决策方法,该方法模拟了Rete算法思路以匹配当前作战情况和决策规则,并采用逼近理想解技术选择出最优决策。实验结果显示该方法可使UAV自主做出合理的决策。This paper focuses on the problem of UAV performing air-to-ground attacking task by researching on the target se- lection progress and relative factors, and analyzes typical active rules and judgment rules that could be used for UAV to determine attacking order. A self-determined decision-making problem model is also formulated. Aiming to ensure that UAV still has the ability to make strategic decisions independently when the communication is interrupted, it designs an approach that simulates Rete algorithm and matches current attack situation and decision rules, and proposes the technique for order preference by similarity to ideal solution to select the best decision. Finally, the test result demonstrates the designed ap- proach can help UAV make reasonable decisions itself.

关 键 词：无人机 对地攻击 目标选择 自主决策 规则推理 

分 类 号：E926.3[军事—军事装备学] V279[兵器科学与技术—武器系统与运用工程]