The Nonlinear Adaptive Attitude Control for Hypersonic Vehicle

被引：0
|
作者：
Hu J. [1 ,2 ]
机构：
[1] Beijing Institute of Control Engineering, Beijing
[2] Science and Technology on Space Intelligent Control Laboratory, Beijing
来源：
Hu, Jun (hujunbice@126.com) | 1600年 / China Spaceflight Society卷 / 38期
关键词：
Adaptive control; Hypersonic vehicle; Integrator; Nonlinear; Optional feed-forward controller;
D O I：
10.3873/j.issn.1000-1328.2017.12.004
中图分类号：
学科分类号：
摘要：
The key factors and uncertainties that affect the attitude movement of a hypersonic vehicle are analyged and a new scheme of hypersonic vehicle attitude control is proposed, including pressure correlation output transformation, nonlinear golden section adaptive control law III, integrator and optional feedforward control. The new scheme solves the influence of the rapid change of aerodynamic pressure on the stability and control precision of the attitude control system during flight, and improves the robustness and adaptability of the critical parameters of the system such as aerodynamic parameter deviation, aerodynamic damping coefficient deviation, atmospheric density deviation, inertia deviation and initial conditional deviation. The new scheme is applied to the attitude control of the dive phase of a hypersonic vehicle with the rapid variance of altitude and velocity, resulting in sharp variance of dynamic pressure. The mathematical simulation shows that the performance index satisfies the requirement and the control output satisfies the restriction. © 2017, Editorial Dept. of JA. All right reserved.
引用
收藏
页码：1281 / 1288
页数：7
相关论文
共 17 条
  • [1] Wallner E.M., Well K.H., Attitude control of a reentry vehicle with internal dynamics, Journal of Guidance, control, and dynamics, 26, 6, pp. 846-854, (2003)
  • [2] Hall C.E., Shtessel Y.B., Sliding mode disturbance observer-based control for a reusable launch vehicle, Journal of Guidance, Control, and Dynamics, 29, 6, pp. 1315-1328, (2006)
  • [3] Gao D.-X., Sun Z.-Q., Luo X., Et al., Fuzzy adaptive control for hypersonic vehicle via Backstepping method, Control Theory & Applications, 25, 1, pp. 805-810, (2008)
  • [4] Xu H., Mirmirani M., Ioannou P.A., Robust neural adaptive control of a hypersonic aircraft, AIAA Guidance, Navigation and Control Conference and Exhibit, (2003)
  • [5] Meng B., Wu H.X., Characteristic model based control of the X-34 reusable launch vehicle in its climbing phase, Science in China Series F: Information Sciences, 52, 11, pp. 2216-2225, (2009)
  • [6] Gong Y.-L., Wu H.-X., Characteristic model-based adaptive attitude control for hypersonic vehicle, Journal of Astronautics, 31, 9, pp. 2122-2128, (2010)
  • [7] Zhang Z., Hu J., Stability analysis of a hypersonic vehicle controlled by the characteristic model based adaptive controller, Science in China Series F: Information Sciences, 55, 10, pp. 2243-2256, (2012)
  • [8] Sun Q., Zhou J., Lin P., Robust adaptive controller design for a hypersonic vehicle based on characteristic model, Flight Dynamics, 29, 1, pp. 46-49, (2011)
  • [9] Du L.-F., Huang W.-W., Liu X.-D., Et al., Whole-channel adaptive control for hypersonic vehicle considering characteristic model, Journal of Astronautics, 37, 6, pp. 711-719, (2016)
  • [10] Huang H., The Research of Attitude Control of Hypersonic Cruise Vehicle During Reentry, (2013)
12