Robust Adaptive Fuzzy Control for HFV With Parameter Uncertainty and Unmodeled Dynamics

This paper proposes a robust adaptive fuzzy tracking controller for a hypersonic flight vehicle (HFV) subject to both parametric uncertainties and unmodeled dynamics. First, the nonlinear model of HFV is input/ouput linearization and the internal dynamics of HFV are established. Second, the ideal internal dynamics (IID) are calculated and then an IID-based controller designing method is utilized. With considering parameter uncertainties and unmodeled dynamics, a full state tracking error system is built. Fuzzy logical system (FLS) is utilized to identify the nonlinear system with parameter uncertainty and unmodeled dynamics. An adaptive fuzzy controller is proposed to guarantee the stability of the whole system with parameter uncertainty and unmodeled dynamics. Comparison simulations show remarkable efficiency of the proposed method.