Tracking Control of Hypersonic Vehicle with Input Saturation Based on Adaptive Back-Stepping Method

This thesis studies the tracking control problem of hypersonic vehicle subject to model parameter uncertainties, external disturbance and input saturation. Firstly, the feedback linearization for longitudinal model of hypersonic vehicle is reasonably decomposed into subsystems that include velocity and altitude subsystem. Secondly, the auxiliary system is introduced to design the anti-saturation adaptive back-stepping controller using dynamic surface control (DSC) technique and compensating signals, which not only avoids the explosion of complexity in the back-stepping design, but also removes the effect of the error caused by the first-order filter. Finally, Lyapunov theory is used to prove the stability of the designed controller strictly, and the numerical simulation of the longitudinal model of the hypersonic vehicle is carried out, which further confirms the robustness and effectiveness of the designed control scheme.