Disturbance Observer‐Based Neural Network Control of a Flexible Flapping‐Wing System
Hejia Gao, Changyin Sun, Wei He · 2025
This chapter develops the visualization model of the rigid-flexible coupled bionic flapping wing by the advanced system-level modeling software MapleSim. A novel neural network controller based on disturbance observer technology is proposed to compensate for the system uncertainties. The proposed method can successfully suppress the vibration of the flapping wing while accurately tracking the desired trajectory. Cosimulation results from MapleSim and MATLAB/Simulink validate the effectiveness of the proposed method.