Dual-channel control of hypersonic flight vehicles based on bounded perturbation analysis of eigenvalues

被引:0
|
作者
Yang Y. [1 ]
Zhang Z. [2 ]
Yan J. [2 ]
Zhang J. [1 ]
Yang L. [1 ]
机构
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
[2] Beijing System Design Institute of the Electro-mechanic Engineering, Beijing
基金
中国国家自然科学基金;
关键词
dual-channel control; Dutch roll mode; eigenvalue bounded-perturbation-matrix; eigenvalue sensitivity matrix; hypersonic flight vehicles; underactuated system;
D O I
10.13700/j.bh.1001-5965.2021.0053
中图分类号
学科分类号
摘要
Considering the underactuated hypersonic flight vehicles with strong uncertainty of the dual channel attitude control strategy, practical feedback-based dual-channel control schemes are given and the robustness analysis method based on the bounded perturbation analysis of eigenvalues is proposed. Firstly, two control schemes, namely the pole-assignment schemes and modes-decoupling scheme, are given to improve Dutch roll dynamics based on the approximate linearization approach and engineering constraints. Then, to evaluate the robustness of the closed-loop system for the uncertain parameters, the eigenvalue sensitivity matrix, the eigenvalue bounded-perturbation-matrix and eigenvalue bounded-perturbation index are proposed. Finally, simulations and analysis of the proposed schemes and methods are given based on the closed-loop six degree-of-freedom model with nominal parameters and perturbed parameters, respectively. Simulation results demonstrate that both schemes could solve the dual-channel control issue. The results also show that the perturbation analysis of eigenvalues could precisely evaluate the system robustness. © 2022 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码:2020 / 2030
页数:10
相关论文
共 15 条
  • [1] REN Z, BAI C., The overview of difficulties and methods of hypersonic vehicle flight control [ J ], Navigation Positioning and Timing, 2, 6, pp. 1-6, (2015)
  • [2] XU B, SHI Z K., An overview on flight dynamics and control approaches for hypersonic vehicles[J], Science China:Information Sciences, 58, pp. 1-19, (2015)
  • [3] WALKER S, SHERK J, SHELL D, Et al., The DARPA / AF falcon program:The hypersonic technology vehicle #2 (HTV-2) flight demonstration phase: AIAA 2008-2539, (2008)
  • [4] SACHAN K, PADHI R., Nonlinear robust neuro-adaptive flight control for hypersonic vehicles with state constraints[ J], Control Engineering Practice, 102, (2020)
  • [5] ZHU S P, XU T, WEI C S, Et al., Learning-based adaptive fault tolerant control for hypersonic flight vehicles with abrupt actuator faults and finite time prescribed tracking performance[ J], European Journal of Control, 58, pp. 17-26, (2021)
  • [6] ZHOU L L, LIU L, CHENG Z T, Et al., Adaptive dynamic surface control using neural networks for hypersonic flight vehicle with input nonlinearities[J], Optimal Control Applications and Methods, 41, 6, pp. 1904-1927, (2020)
  • [7] YANG Y H, SHAO X L, SHI Y., Back-stepping robust control for flexible air-breathing hypersonic vehicle via α-filter-based uncertainty and disturbance estimator[ J], International Journal of Control Automation and Systems, 19, 1, pp. 1-14, (2021)
  • [8] WANG Z, BAO W, LI H., Second-order dynamic sliding-mode control for nonminimum phase underactuated hypersonic vehicles[ J ], IEEE Transactions on Industrial Electronics, 64, 4, pp. 3105-3112, (2017)
  • [9] SHI L N, LI H F, ZHANG R., Gliding reentry vehicle lateral / directional coupling attitude control strategy, Journal of Beijing University of Aeronautics and Astronautics, 42, 1, pp. 120-129, (2016)
  • [10] LI X Q, ZHOU J., Attitude tracking of the under-actuated reentry vehicle with actuator saturation [ J ], Fire Control and Command Control, 41, 12, pp. 15-19, (2016)