15 - Guest lectures
NONLINEAR FRICTION MODELING OF HELIX SWING HYDRAULIC CYLINDERS FOR MORPHING AIRCRAFT USING PHYSICS-INFORMED NEURAL NETWORKS (PITCH SESSION)
S. Chen, China
This study proposes a Physics-Informed Neural Network (PINN) friction model for a hydrostatic helical oscillating cylinder in morphing aircraft. By integrating the experimental data with the mathematical model, we will verify the accuracy, generalization ability and robustness of this nonlinear friction model.