基于神经网络模型的舰面流场仿真算法

飞行甲板表面流场是影响直升机飞行安全的重要因素，在直升机实时飞行仿真中，流场速度分布特性直接影响直升机飞行动力学仿真的精确度。文章以纳维-斯托克斯方程为基础，利用BP神经网络算法，研究了实时确定流场速度分布的方法，该方法可用于甲板流场实时仿真，提高直升机飞行仿真的精度。

Simulation Algorithm of Flightdeck Airflow Based on Neural Network

The airflow on the flightdeck is an important factor which influences helicopter flight safety. The airflow velocity distribution characteristics directly influences simulation accuracy of helicopter flight dynamics. Based on the Navier-Stokes equations, the method to determine the airflow velocity in real-time is discussed using BP neural network. This method can be used for flightdeck airflow real-time simulation, and it can improve helicopter flight simulation accuracy.