Direct Adaptive and Neural Control of Wing-Rock Motion of Slender Delta Wings

The question of wing-rock suppression of slender delta wings is considered. Based on a nonlinear model, an adaptive control law for wing-rock control is derived. In this derivation, it is assumed that the aerodynamic parameters in the nonlinear model are not known. The derivation of a control law for wing-rock suppression using neural networks when the dynamics of wing rock are completely unknown is also treated. A radial basis function network is used for synthesizing the controller. An adaptation law is derived for adjusting the parameters of the network. Digital simulation results show that in the closed-loop system wing-rock motion is suppressed using the adaptive and neural controllers.