To accurately depict the dynamic characteristics for aircraft stall by aerodynamic model, a Wavelet Neural Network (WNN) stall aerodynamic modeling method based on Particle Swarm Optimization (PSO) algorithm and Artificial Fish Swarm (AFS) algorithm is proposed. Numerical examples show that the proposed method has a good prediction precision, and it is also effective and feasible to build the aerodynamic model from flight data for aircraft stall.


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    Title :

    Research on Stall Aerodynamics Modeling Based on WNN Trained by AFS-PSO Hybrid Algorithm from Flight Data



    Published in:

    Applied Mechanics and Materials ; 602-605 ; 3173-3176


    Publication date :

    2014-08-11


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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