Abstract:

A nonlinear robust adaptive flight controller based on feedback linearization theory is proposed to solve the flight control problems which are induced by nonlinear problems, such as uncertain parameters or disturbances. And a least square support vector machine (LS-SVM) is introduced in control scheme to compensate the inverse error online. The updating rule of LS-SVM parameters is derived, and the closed-loop nonlinear system is guaranteed to be asymptotically stable by Lyapunov theory. Furthermore，the influences of uncertainties and nonlinearities in real flight environment are simulated by the formulation of average aerodynamic modeling errors (AAME). Then the nonlinear six degrees-of-freedom (DOF) flight is emulated on the winged aircraft model, and the results demonstrate a good tracking performance and robustness of the designed flight controller.