基于多层模糊Petri网的恶劣气象规避智能决策

研究飞机规避恶劣气象的战术决策问题,首先分析两种典型恶劣气象的规避策略,按飞行阶段的不同分别归纳出对应的知识库,采用多层模糊Petri网的方法对知识库进行建模,有效利用抽象库所和抽象变迁来提高模型对复杂知识的表示能力,并能够适应知识库的扩展和更新,用模块合并方法和"补弧"概念对模型进行简化,以降低推理过程的运算量,最后以途中飞行阶段的决策过程为例进行仿真验证,仿真结果表明基于多层模糊Petri网的建模方法可行有效.

Intelligent Decision-making for Hazardous Weather Avoidance Based on Hierarchical Fuzzy Petri Nets

The aircraft tactical decision-making strategy was studied under hazardous weather conditions. In order to apply structured theory to knowledge base analysis and modeling by utilization of abstract place and abstract transition conveniently, Hierarchical Fuzzy Petri Net (HFPN) was used. First of all, the avoidance strategy in two kinds of hazardous weather in detail was analyzed, and avoidance knowledge base was summarized. Secondly, HFPN based knowledge base modeling process, model reduction method and its reasoning algorithm were introduced. The feasibility and efficiency of HFPN were validated by the simulation results in cruising phase.