The neural networks augmented active wing load control system

The paper considers the problem of wing load control problems. To stabilize and control the wing load of the aircraft, an active wing load control system is designed. The dynamic model inversion is used as the feedback linearization method of choice. To dispose the model drift and instability of the aerodynamic model, an on line adaptive neural networks is introduced to reconstruct the inversion error. The simulation results show that the active wing load control system is well competent for controlling and stabilizing the wing load, and has a good robustness while the aerodynamics condition is drifting.