Bio-Inspired Neural Adaptive Control of a Small Unmanned Aerial Vehicle Based on Airflow Sensors

Bio-Inspired Neural Adaptive Control of a Small Unmanned Aerial Vehicle Based on Airflow Sensors

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Inspired by the exceptional flight ability of birds and insects, a bio-inspired neural adaptive flight control structure of a small unmanned aerial vehicle was presented.Eight pressure sensors were PURE PRUNE elaborately installed in the leading-edge area of the forward wing.A back propagation neural network was trained to predict the aerodynamic moment based on pressure measurements.The network model was trained, validated, and tested.An adaptive controller was designed based on a radial basis function neural network.

The new adaptive laws King Platform Bed guaranteed the boundedness of the adaptive parameters.The closed-loop stability was analyzed via Lyapunov theory.The simulation results demonstrated the robustness of the bio-inspired flight control system when subjected to measurement noise, parametric uncertainties, and external disturbance.