Fast sliding mode control on air-breathing hypersonic vehicles with transient response analysis

Abstract

This article studies the tracking control of air-breathing hypersonic vehicles to the reference velocity and the reference altitude with a fast non-linear sliding mode control scheme. By the feedback linearization technology, the longitudinal model of air-breathing hypersonic vehicles is divided into the velocity subsystem and the altitude subsystem. Two lumped tracking error variables are developed based on velocity and altitude subsystems, and non-singular terminal sliding mode control is used so that the two lumped error variables converge to the origin in finite time. During the tracking process, transient properties of non-singular terminal sliding mode control are investigated from the mathematical and theoretical standpoint. The simulation results have shown that the fast non-linear sliding mode control is effective for the tracking control of air-breathing hypersonic vehicles and have demonstrated that the relevant transient response analysis is correct.

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties

“…From the literature of modern nonlinear control, it is known that the presence of dynamical uncertainties makes the feedback control problem extremely challenging in the context of nonlinear systems. As a result, the problem of designing adaptive and robust controller for nonlinear systems with uncertainties has attained considerable attention [5,10,13,16,24,[33][34][35]38,45,[51][52][53]57]. Among that, Mu et al [35] proposed a general design scheme of finite-time switching mode manifolds and corresponding nonsingular controllers.…”

Modeling and nonlinear control for air-breathing hypersonic vehicle with variable geometry inlet

“…Whatever the model is, steering the state to a desired trim condition along some reference trajectories is the main problem for AHV. Many of control methods and techniques have been applied to flight control design of AHV, such as linear quadratic regulator control [18], robust control [19], adaptive control [20], sequential loop closure controller design [21], slid-ing mode control (SMC) [22][23] [24], disturbance-observerbased control [25], intelligent control algorithm [26] [27], etc.…”

Concise Neural Nonaffine Control of Air-Breathing Hypersonic Vehicles Subject to Parametric Uncertainties

“…One of the major issues with respect to the developments of AHVs is to maintain controllability of the vehicle during various phases of flight [1][2][3]. However, flight control design for such vehicles is very challenging due to significant uncertainties, strong couplings, nonminimum phase characteristics, and significant flexible effects [4][5][6][7].…”