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。
This article proposes a novel fuzzy virtual force （FVF） method for unmanned aerial vehicle （UAV） path planning in compli-cated environment. An integrated mathematical model of UAV path planning based on virtual force （VF） is constructed and the corresponding optimal solving method under the given indicators is presented. Specifically,a fixed step method is developed to reduce computational cost and the reachable condition of path planning is proved. The Bayesian belief network and fuzzy logic reasoning theories are applied to setting the path planning parameters adaptively,which can reflect the battlefield situation dy-namically and precisely. A new way of combining threats is proposed to solve the local minima problem completely. Simulation results prove the feasibility and usefulness of using FVF for UAV path planning. Performance comparisons between the FVF method and the A＊ search algorithm demonstrate that the proposed approach is fast enough to meet the real-time requirements of the online path planning problems.
