系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (6): 2042-2051.doi: 10.12305/j.issn.1001-506X.2026.06.24

• 制导、导航与控制 • 上一篇    下一篇

吸气式高超声速飞行器高性能姿态控制方法

安帅斌, 刘泓麟, 董哲, 刘君, 刘凯   

  1. 大连理工大学力学与航空航天学院,辽宁 大连 116081
  • 收稿日期:2025-04-09 修回日期:2025-09-28 出版日期:2026-06-25 发布日期:2025-12-08
  • 通讯作者: 刘凯
  • 作者简介:安帅斌(1997—),男,博士研究生,主要研究方向为高超声速飞行器智能辨识与控制
    刘泓麟(1998—),男,博士研究生,主要研究方向为高超声速飞行器控制、变构型飞行器、智能飞行控制
    董 哲(1996—),男,博士研究生,主要研究方向为无人机智能制导与控制与耦合非线性控制
    刘 君(1965—),男,教授,博士,主要研究方向为高超声速飞行器计算流体力学、空气动力学、流固耦合数值模拟方法及应用
  • 基金资助:
    国家自然科学基金(U2141229)资助课题

High performance attitude control method for air-breathing hypersonic vehicle

Shuaibin AN, Honglin LIU, Zhe DONG, Jun LIU, Kai LIU   

  1. School of Mechanics and Aerospace Engineering,Dalian University of Technology,Dalian 116081,China
  • Received:2025-04-09 Revised:2025-09-28 Online:2026-06-25 Published:2025-12-08
  • Contact: Kai LIU

摘要:

针对吸气式高超声速飞行器在飞行器/发动机耦合影响条件下的高性能姿态控制问题,设计一种自适应观测补偿的高性能滑模控制(sliding mode control, SMC)方法。该方法以指数收敛的SMC为基础,引入扩张状态观测器(extended state observer, ESO)进行控制补偿。为了提高模型不确定性情况下姿态控制性能,提出一种基于综合指标的控制参数优化方法,通过非线性优化方法解决目前SMC与ESO复杂增益整定问题。数学仿真结果显示,在大量不确定性组合条件下,所提方法能够保证姿态跟踪的鲁棒性。进一步通过硬件在环仿真验证可得,所提方法在考虑强耦合强非线性模型影响下,在控制超调与稳定时间方面优于基准SMC与非线性动态逆控制。

关键词: 吸气式高超声速飞行器, 机体/推进耦合, 滑模控制, 控制参数优化, 硬件在环仿真

Abstract:

In view of the attitude control problem of high performance for air-breathing hypersonic vehicle under the condition of vehicle/engine coupling effect, a high-performance sliding mode control (SMC) method for adaptive observation compensation is designed. This method is based on the SMC with exponential convergence and introduces an extended state observer (ESO) for control compensation. In order to improve the attitude control performance under model uncertainty, a control parameter optimization method based on comprehensive indicators is proposed, and the current complex gain tuning problems of SMC and ESO is solved through nonlinear optimization methods. Mathematical simulation results demonstrate robust attitude tracking under multiple combined uncertainties. Furthermore, hardware-in-the-loop simulation verifies that the proposed method outperforms benchmark SMC and nonlinear dynamic inversion control in overshoot suppression and setting time reduction under strongly coupled and highly nonlinear conditions.

Key words: air-breathing hypersonic vehicle, vehicle/engine coupling, sliding mode control (SMC), control parameter optimization, hardware-in-the-loop simulation

中图分类号: