Tracking control of hypersonic flight vehicle based on discrete-time neural network approach
HE Sheng-rui
PING Zhao-wu
ZHANG Hong-wei
Abstract：Hypersonic flight vehicle is a multi-input multi-output system with strong nonlinearity and strong coupling characteristics.In addition,when the elevator is used as the only control surface,the coupling term between the elevator and lift force in the system model leads to the non-minimum phase behavior of the hypersonic flight vehicle system,which poses certain challenge to its tracking control problem.This paper investigates the tracking control problem of hypersonic flight vehicle based on discrete-time output regulation theory,where the elevator is the only control surface.The tracking control problem of hypersonic flight vehicle is firstly formulated as an approximate discrete-time output regulation problem.Since it is difficult to obtain the exact solution of the discrete regulator equations for the hypersonic flight vehicle,the approximate solution of the discrete regulator equations is obtained by neural network method and then the discrete-time neural network controller is designed to achieve tracking control of hypersonic flight vehicle in this paper.The simulation results show that the proposed control algorithm can lead to satisfactory tracking performance.
Keywords：discrete-time nonlinear systemhypersonic flight vehicletracking controloutput regulationneural net-work
Publication Date：2026-01-30
Online Publishing Date：2026-02-05(First online date of this platform, not the publication date of the document)
Pages：9( 52-60 )