
Simulation Algorithm of Flightdeck Airflow Based on Neural Network
Xun Wensheng、 Lin Ming
Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (5) : 76-79.
Simulation Algorithm of Flightdeck Airflow Based on Neural Network
Xun Wensheng、 Lin Ming
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.
flow / finite element / neural network
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