Lines cluster approaching mode control for air-breathing hypersonic vehicle under disturbances and uncertainties

Abstract

This paper investigates the velocity and altitude tracking control problem for air-breathing hypersonic vehicle (AHV) in the presence of external disturbances and parameter uncertainties. A composite controller containing improved lines cluster approaching mode control (LCAMC) and nonlinear disturbance observer (NDO) is developed to guarantee the tracking errors converge to zero and enhance the robustness of control system. Meanwhile, considering the multiple uncertain parameters, a genetic algorithm (GA) based Pareto uncertainty estimation is employed to predict the parameter uncertainties of the AHV dynamics. Besides, the mathematical proofs of proposed method are analyzed by utilizing Lyapunov theory. Simulation results demonstrate the effective tracking performance, excellent disturbance estimation and uncertainty estimation ability of the composite method.