Adaptive Dynamic Surface Control of a Hypersonic Flight Vehicle with Magnitude, Rate and Bandwidth Constraints

Abstract

AbstractThis paper describes the design and analysis of a nonlinear adaptive dynamic surface air speed and a flight path angle controller for the longitudinal dynamics of a generic hypersonic flight vehicle with actuator constraints. The uncertain nonlinear functions in the flight vehicle model are approximated by using radial basis function neural networks. Controller design for the velocity subsystem and the purefeedback flight path angle subsystem are treated independently. The salient feature of the design is the accommodation of magnitude, rate and bandwidth constraints on the actuator signals. A detailed stability analysis of the designed controllers shows that all the signals of the closed loop system are uniformly ultimately bounded. The robustness and performance of the designed controllers is verified through numerical simulations of the flight vehicle model for various parameter variation test cases.