Aircraft Vertical Tail Active Vibration Control Based On Neural Networks Control Theory

Continuous vortex load on the aircraft vertical tail may lead to fatigue damage,even affect the performance of the aircraft and the safety of flight. Therefore, it is significant to control the vibration of the vertical tail. A 50% aircraft vertical tail model is taken for research object in the paper. To solve the uncertainty and nonlinear problem of the vertical tail model structure vibration control system, the research on nonlinear vibration system identification and active vibration control using neural network are carried out. The main works of this paper are as follows:(1) The experiments for data acquisition of the control system with the single-frequency signal of 6Hz,sweep frequency signals of 2-15Hz and 2-50Hz as excitation signals respectively are finished.(2) Based on improved nonlinear auto-regressive moving average model NARMA-L2 and double BP neural network of delayed feedback, system identification and dynamic modeling of the vertical tail model structure vibration control system are carried out.(3) The control method of indirect neural network self-tuning based on NARMA-L2 model is designed to achieve the active vibration control.(4) The hardware and software design of the active vibration control are finished.(5)The experiments of the active vibration control on the vertical tail are finished,which using the single-frequency signal of 6Hz,sweep frequency signals of 2-15Hz and 2-50Hz as excitation signals of external disturbance. The results of the experiment show that it is feasible and available to achieve the active vibration control on the vertical tail based on the neural network self-tuning control theory.