Abstract:

A flight control law based on simplified robust adaptive dynamic surface control is proposed. The complex problem in the traditional backstepping design which is caused by repeated differentiations of virtual control is eliminated by the dynamic surface control method. Neural networks are used to approximate the aerodynamic parameters uncertainties and external disturbances. Simplified adaptive laws only need the number of on-line update parameters to be equal with the number of uncertain terms. All signals in the close loop are guaranteed to be semi-globally uniformly ultimately bounded. Simulation results for post-stall maneuvering flight demonstrate that, considering aerodynamic parameters disturbances and external disturbances, the control law can still accomplish post-stall maneuver very well and guarantee a simpler controller structure and good robustness.