35th Congress of the International Council of the Aeronautical Sciences

04.2 - Aerostructures Design, Structural Dynamics, Aeroelasticity

IMPACT LOAD IDENTIFICATION METHOD FOR AIRCRAFT RUDDER PLANES BASED ON NARX NEURAL NETWORK

S.Y. Liang¹, T. Yang¹, Z.C. Yang¹; ¹Northwestern Polytechnical University, China

Accurate identification of impact loads has great influence on the safe and reliable operation of practical engineering structures. To ensure the reliability of structural design, designers need to accurately know the effect of impact loads acting on structures, such as load amplitude and duration, so as to effectively reduce or even eliminate the adverse effects of impact loads on structural performance. Taking aircraft rudder plane model as the research object, this paper investigates the application of the Nonlinear Autoregressive with Exogenous Inputs (NARX) neural network in impact load identification. The recurrent neural network, which is widely used in the field of deep learning, is introduced into the research on impact load identification. By combining the "memory" characteristic of recurrent neural networks with the solution principle of impact response, the goal of impact load identification is achieved.


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DOI: 10.71945/icas2026_0379