Abstract:

We propose to control the nonlinear wing rock motion of fighter aircraft using an adaptive nonlinear control strategy based on neural networks. An approximate dynamic inversion method is used to linearize the dynamics of wing rock. A linear controller is designed to stabilize the error dynamics. An adaptive neural network is used to cancel the inversion error. Simulation results of a slender delta wing combat aircraft model
at different angle of attack show that the control design can effectively suppress wing rock.

Key words: wing rock, adaptive control, nonlinear control, single hidden layer neural network, flight control