控制理论与应用2026，Vol.43Issue(1)：52-60,9.DOI:10.7641/CTA.2025.40581
基于离散时间神经网络方法的高超声速飞行器跟踪控制
Tracking control of hypersonic flight vehicle based on discrete-time neural network approach
摘要
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.关键词
离散时间非线性系统/高超声速飞行器/跟踪控制/输出调节/神经网络Key words
discrete-time nonlinear system/hypersonic flight vehicle/tracking control/output regulation/neural net-work引用本文复制引用
何声瑞,平兆武,张宏伟..基于离散时间神经网络方法的高超声速飞行器跟踪控制[J].控制理论与应用,2026,43(1):52-60,9.基金项目
国家自然科学基金项目(62273127,62473114),中央高校基本科研业务费项目(JZ2025HGTG0293),深圳市科技计划项目(JCYJ2022081810241603 6)资助.Supported by the National Natural Science Foundation of China(62273127,62473114),the Fundamental Research Funds for the Central Universities(JZ2025HGTG0293)and the Shenzhen Science and Technology Program(JCYJ20220818102416036). （62273127,62473114）
