基于认知科学的无人飞行器自主控制系统结构研究

Xianyu Meng, Jihong Zhu, Guanglin Li, Xuyan Tu
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引用次数: 2

摘要

无人作战飞机(UCAV)是一种智能武器。基于人工脑理论,将其自主控制系统划分为感知融合层、认知与决策层和行为控制层。在感知融合层,信息从多传感器系统传递到相关系统,并最终进行融合。在认知和决策层,设计了基于超短时记忆和长时记忆三阶段记忆机制的认知模型。在行为控制层,增加了计划功能,提高了行为智能。采用动态反演方法对飞行控制进行仿真。通过对移动轨迹的跟踪,验证了执行子系统设计的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on autonomous control system structure of UCAV based on cognitive science
The unmanned combat aerial vehicle(UCAV) is a intelligent weapon. Based on artificial brain theory, its autonomous control system was divided into three layers which are perception fusion layer, cognition and decision layer, and behavior control layer. In perception fusion layer, information was transmitted from multi-sensors system to relative system and was fused ultimately. In cognition and decision layer, a cognitive model was designed based on three-phase memory mechanisms which were ultra short-time memory and long-time memory. In behavior control layer, planning function was added that increased behavior intelligence. The flight control was simulated using dynamic inversion method. And the result showed the design of execution sub-system was reasonable through tracking the mobile trajectory.
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