Robust adaptive fuzzy control for wing rock systems

In this study, a robust adaptive fuzzy control (RAFC) system is proposed. The RAFC system is comprised of a computation controller and a robust controller. The computation controller containing a neural-network-estimator is the principal controller and the robust controller is designed to achieve H^∞ tracking performance. An on-line tuning method is derived to tune the parameters of the neural network for estimating the controlled system dynamic function. To investigate the effectiveness of the RAFC, the design methodology is applied to control a wing rock system. Simulation results demonstrate that the proposed RAFC system can achieve favorable tracking performances for the wing rock system.