Simulation Algorithm of Flightdeck Airflow Based on Neural Network

Xun Wensheng、 Lin Ming

Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (5) : 76-79.

PDF(2830 KB)
PDF(2830 KB)
Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (5) : 76-79.
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Simulation Algorithm of Flightdeck Airflow Based on Neural Network

  • Xun Wensheng、 Lin Ming

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Abstract

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.

Keywords

flow / finite element / neural network

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Xun Wensheng,Lin Ming. Simulation Algorithm of Flightdeck Airflow Based on Neural Network. Strategic Study of CAE, 2003, 5(5): 76‒79
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