Robust adaptive tracking control of delta wing vortex-coupled roll dynamics using RBF neural networks

In this paper a robust adaptive control strategy has been proposed and applied for vortex-coupled delta wing roll dynamics with parameter uncertainty in the rolling moment coefficient. The robust adaptive tracking neuro-controller employs a new network of Gaussian radial basis functions (RBF) to adaptively compensate for the rolling moment coefficient. Rolling moment coefficient, as a function of left and right vortex breakdown positions, is estimated online in adaptive neuro-controller structure using a special feature of RBF networks for the delta wing case. The proposed controller is stable with good tracking performance