Adaptive Hypersonic Flight Control under Asymmetric AOA Constraint

This paper investigates an asymmetric barrier Lyapunov function (ABLF) based adaptive learning controller for hypersonic flight vehicle (HFV). With consideration of the asymmetric constraint on angle of attack (AOA), by analysing the ABLF, the controller is designed based on back-stepping technique with AOA constraint being applied. Moreover, the composite learning method is utilized to estimate unknown nonlinear functions. Simulation results verify that the designed controller can guarantee good tracking performance, and the AOA tracking error is well restricted.