Fuzzy-reconstruction-based robust tracking control of an air-breathing hypersonic vehicle

摘要

This paper proposes a novel control scheme to address the robust tracking control problem of an air breathing hypersonic vehicle subject to unknown dynamics and immeasurable states. The whole control architecture is constructed by fuzzy logic system based on the decomposition of the vehicle dynamics into the velocity and altitude subsystem. In order to improve control precision, a nonlinear observer is designed to estimate and further compensate the approximation error of fuzzy logic system. In addition, a fuzzy state observer is proposed to estimate the immeasurable states and reconstruct the full states of the system. Through Lyapunov stability analysis, the closed-loop system is guaranteed to be semi-globally uniformly ultimately bounded. Moreover, the tracking and estimate errors converge to an arbitrary small neighborhood around zero. Extensive simulation and evaluations illustrate effectiveness of the proposed scheme. (C) 2019 Published by Elsevier Masson SAS.