Fuzzy Adaptive Control for Generic Hypersonic Vehicles with Non-Affine Aerodynamic Characteristics and Output Con-straints

In this paper, a fuzzy adaptive control scheme is developed for a class of generic Hypersonic Vehicles (GHVs) subjected to non-affine aerodynamics. With the aid of the nonlinear mapping, the dynamics of the attitude tracking errors are transformed to a stochastic uncertain control system. By utilizing several specific smooth function vectors and estimating the boundaries of the uncertainties, the unknown changing uncertainties can be handled. Based on the mean-value theorem, the difficulties caused by non-affine aerodynamics can be circumvented. Meanwhile, two fuzzy logic systems (FLSs) are introduced for dealing with the aerodynamic nonlinearities. The constraints of the attitude angular tracking errors can be ensured simultaneously. Finally, simulation results demonstrated the effectiveness of the proposed algorithm.