The invention provides an intelligent judgment method and device for rotation entering of a helicopter. The method comprises the steps that 1, a helicopter power failure flight database is established; 2, engine parameters and flight state parameters are selected according to the dynamic failure characteristics, and data processing is carried out on the engine parameters and the flight state parameters; step 3, an LM (Levenberg-Marquardt) algorithm is used to construct a training learning method of the neural network; 4, according to a training learning method of a neural network, the helicopter power failure flight database, the engine parameters and the flight state parameters, determining a network structure and training the network to obtain a trained neural network structure; and 5, obtaining an autorotation judgment result by using the trained neural network structure.
本申请提供一种直升机进入自转智能判断方法及装置,所述方法包括:步骤1:建立直升机动力失效飞行数据库;步骤2:根据动力失效特性选取发动机参数和飞行状态参数,并对其进行数据处理;步骤3:利用LM(Levenberg—Marquardt)算法,构建神经网络的训练学习方法;步骤4:根据神经网络的训练学习方法、直升机动力失效飞行数据库、发动机参数和飞行状态参数,确定网络结构并训练网络,获得训练好的神经网络结构;步骤5:利用训练好的神经网络结构,获得自转判断结果。
Intelligent judgment method and device for rotation entering of helicopter
一种直升机进入自转智能判断方法及装置
2024-02-23
Patent
Electronic Resource
Chinese
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