Finite-Time Adaptive Control of Flexible Hypersonic Flight Vehicle Under Measurement Noise

作     者：Shou, Yingxin Zhan, Tao Xu, Bin Sun, Fuchun 

作者机构：Southeast University School of Automation Nanjing210096 China Tsinghua University Department of Automation Beijing100084 China Northwestern Polytechnical University School of Automation Xi'an710072 China Tsinghua University Department of Computer Science and Technology Beijing100084 China 

出 版 物：《IEEE Transactions on Aerospace and Electronic Systems》 (IEEE Trans. Aerosp. Electron. Syst.)

年 卷 期：2025年第61卷第3期

页      面：5826-5838页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 08[工学] 080104[工学-工程力学] 0714[理学-统计学（可授理学、经济学学位）] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China Jiangsu Funding Program for Excellent Postdoctoral Talent 

主　　题：Perturbation techniques 

摘      要：This article investigates a finite-time composite adaptive control strategy for hypersonic vehicles under model uncertainties and measurement noise, employing state observers. To mitigate the impact of stochastic uncertainties and measurement noise, a nonlinear observer with exponential convergence characteristics is designed to filter noise and generate state estimates. As the observer gain increases, the stable attraction domain broadens, and the observation error s convergence time decreases. Considering the differing timescale characteristics of rigid body dynamics and flexible modes, the singular perturbation theory is applied to perform fast-slow timescale decomposition. For the slow subsystem associated with the rigid body dynamics, dynamic uncertainties are addressed by deriving an aerodynamic parameter estimation update law, based on feedback from tracking errors and prediction errors. Both external tracking evaluation and internal estimation evaluation are integrated into the estimator to estimate the true values of aerodynamic parameters within a finite time, thus approximating dynamic uncertainties. For the fast subsystem corresponding to the flexible modes, an adaptive sliding mode controller is designed to stabilize the flexible dynamics. The exponential stability of the state observer, as well as the finite-time convergence of both the rigid and flexible modes, are analyzed using Lyapunov s direct method under simplified assumptions. Simulation results validate the observer-based controller s robustness against noise disturbances and its capability to accurately approximate uncertainties, resulting in enhanced tracking performance for speed and altitude. © 1965-2011 IEEE.