Stabilization of a Nonlinear Prototypical Wing Section with Self-Improvement of Control Performance
In this paper a novel intelligent control is proposed for the purpose of active instability suppression of a nonlinear 2-D wing-flap aeroelastic system in the incompressible flow field. Lyapunov direct method is utilized to establish a set of feasible controllers that can stabilize the system. A learning module is integrated to find within the feasible sets the controller with smaller control errors and less input energy, realizing the self-improvement of control performance. This control approach requires neither the measurements of all states nor the exact knowledge or estimation of the nonlinearities. The simulation results are given to show the performance of the proposed control in suppressing the system's instability and the limit cycle oscillations, with comparison to the feedback linearization method.