摘要
为管理面向全飞行任务的智能驾驶员辅助系统知识库,提出基于任务分解的分级递阶结构.知识库递阶结构分为:任务判定级、情况域判定级、辅助执行级.结合战斗机编队作战任务及其攻击视距外空中目标的典型任务阶段具体分析设计知识库结构.基于专家系统软件工具CLIPS(C Language Integrated Production System)设计知识库递阶结构软件模型,实现了辅助系统知识库的分级模块化,缩小推理空间,提高搜索效率,便于知识库的开发、维护和重用.通过仿真系统的搭建和运行,验证了递阶结构的合理性和可实现性.
To realize knowledge base of intelligent pilot＇s assistant system during the full flight course, hierarchical architecture based on task decomposition was adopted. The hierarchical knowledge base was proposed： task-judging level, field-judging level and aiding-making level. Cooperative team combat mission of fighter aircraft was analyzed emphatically. And 14 sub-tasks were defined according to the flight phase, situation and objective. The sub-task, attack air target beyond visual range, was studied. The sub-task was disjointed by 5 fields on the time dimension or spatial dimension. Modules architecture of the hierarchical knowledge base was established by the expert system software tool C language integrated production system （CLIPS）. The effectiveness and the feasibility of hierarchical architecture are demonstrated by the distributed real-time simulation system.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第5期512-515,519,共5页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家自然科学基金资助项目(10377001)
关键词
智能辅助系统
专家系统
知识库
递阶结构
intelligent assistant system
expert system
knowledge bases
hierarchical architecture
