Research on Longitudinal Aerodynamics Modeling Method for Aircraft Stall Based on Wavelet Neural Network from Flight Data

Xu Sheng Gan; Hai Long Gao

doi:10.4028/www.scientific.net/AMM.602-605.3144

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on Longitudinal Aerodynamics Modeling...

Research on Longitudinal Aerodynamics Modeling Method for Aircraft Stall Based on Wavelet Neural Network from Flight Data

Abstract:

For the aerodynamic modeling problem from measured flight data for aircraft stall, a WNN aerodynamic modeling method is proposed. According to the aerodynamic modeling flow from flight data for aircraft stall, WNN is introduced to establish the aerodynamic model of aircraft for stall phenomenon. Experiment shows that the method can improve the modeling ability of WNN, and is suitable for actual aerodynamic modeling for aircraft stall.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3144-3147

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3144

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Online since:

August 2014

Authors:

Xu Sheng Gan*, Hai Long Gao

Keywords:

Aerodynamics Modeling, Aircraft Stall, Flight Data, Wavelet Neural Network

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* - Corresponding Author

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