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Adaptive trajectory linearization control for hypersonic reentry vehicle

  • Mechanical Engineering, Control Science and Information Engineering
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Abstract

This paper presents an improved design for the hypersonic reentry vehicle (HRV) by the trajectory linearization control (TLC) technology for the design of HRV. The physics-based model fails to take into account the external disturbance in the flight envelope in which the stability and control derivatives prove to be nonlinear and time-varying, which is likely in turn to increase the difficulty in keeping the stability of the attitude control system. Therefore, it is of great significance to modulate the unsteady and nonlinear characteristic features of the system parameters so as to overcome the disadvantages of the conventional TLC technology that can only be valid and efficient in the cases when there may exist any minor uncertainties. It is just for this kind of necessity that we have developed a fuzzy-neural disturbance observer (FNDO) based on the B-spline to estimate such uncertainties and disturbances concerned by establishing a new dynamic system. The simulation results gained by using the aforementioned technology and the observer show that it is just due to the innovation of the adaptive trajectory linearization control (ATLC) system. Significant improvement has been realized in the performance and the robustness of the system in addition to its fault tolerance.

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References

  1. TIAN X K, ZHU Q J. Flight dynamics modeling and analysis of flexible hypersonic flight vehicles [J]. Applied Mechanics and Materials, 2013, 275(3): 513–517.

    Article  MathSciNet  Google Scholar 

  2. HALL C E, SHTESSEL Y B. Sliding mode disturbance observerbased control for a reusable launch vehicle [J]. Journal of Guidance, Control, and Dynamic, 2006, 29(6): 1315–1328.

    Article  Google Scholar 

  3. WANG Hong-xin, JIANG Ju, DU Jie, LEI A X. Sliding mode controller for hypersonic vehicle with parameters uncertainties [C]// 2014 IEEE Chinese Guidance, Navigation and Control Conference. Yantai: GNCC, 2014: 686–691.

    Google Scholar 

  4. BENJOVENGO F P. Sliding mode control approaches for an autonomous unmanned robotic airship [C]// 18th AIAA Lighter-Than-Air System Technology Conference. Washington: AIAA, 2009: 1–11.

    Google Scholar 

  5. SONNEVELDT L, CHU Q P, MULDER J A. Nonlinear flight control design using constrained adaptive back-stepping [J]. Journal of Guidance, Control, and Dynamics, 2007, 30(2): 332–336.

    Article  Google Scholar 

  6. QIN Chang-mao, QI Nai-ming, ZHU Kai. Active disturbance rejection attitude control design for hypersonic vehicle [J]. Journal of Systems Engineering and Electronics, 2011, 33(7): 1607–1610.

    Google Scholar 

  7. SONG Jiang-shuang, REN Zhang, SHEN Zhen. Self-regulation control scheme for reusable launch vehicle reentry attitude control [C]// 2012 IEEE Fifth International Conference on Advanced Computational Intelligence. Nanjing: ICACI, 2012: 447–451.

    Chapter  Google Scholar 

  8. ZHU J J, BANKER B D, HALL C E. X-33 ascent flight controller design by trajectory linearization-a singular perturbational approach [C]// AIAA Guidance, Navigation, and Control Conference. Denver: AIAA, 2000: 1–5.

    Google Scholar 

  9. ADAMI T A, ZHU J J. Flight control of hypersonic scramjet vehicles using a differential algebraic approach [C]// AIAA Guidance, Navigation, and Control Conference. Keystone: AIAA, 2006: 1–9.

    Google Scholar 

  10. LI Hai-jun, HUANG Xian-lin, GE Dong-ming. Adaptive trajectory linearized control for maneuvering reentry vehicle [J]. Journal of Astronautics, 2011, 32(5): 1039–1046. (in Chinese)

    Google Scholar 

  11. ZHU Bing, HUO Wei. Trajectory linearization control for a miniature unmanned helicopter [J]. International Journal of Control, Automation and Systems, 2013, 11(3): 286–295.

    Article  Google Scholar 

  12. PU Zhi-qiang, TAN Xiang-min, FAN Guo-liang, YI Jian-qiang. Robust trajectory linearization control of a flexible hypersonic vehicle in the presence of uncertainties [C]// 2013 IEEE International Conference on Mechatronics and Automation. Takamatsu: ICMA, 2013: 365–370.

    Chapter  Google Scholar 

  13. BURKEN J, NGUYEN N T, GRIFFIN B J. Adaptive flight control design with optimal control modification on an F-18 aircraft model [J]. National Aeronautics and Space Administration, 2010, 20(4): 1–17.

    Google Scholar 

  14. RYSDYK R, CALISE A J. Robust nonlinear adaptive flight control for consistent handling qualities [J]. IEEE Transactions on Control System Technology, 2005, 13(6): 896–910.

    Article  Google Scholar 

  15. BEVACQUA T, BEST E, HUIZENGA A. Improved trajectory linearization flight controller for reusable launch vehicles [C]// 42nd AIAA Aerospace Science Meeting and Exhibit. Reno: AIAA, 2004: 1–13.

    Google Scholar 

  16. KHALIL H K. Nonlinear systems[M]. New Jersey, USA: Prentice-Hall, 2002.

    Google Scholar 

  17. CSURCSIA P Z, SCHOUKENS J, KOLLAR I. Identification of time-varing systems using a two-dimensional B-spline algorithm [C]// IEEE Instrumentation and Measurement Technology Conference. Graz: IMTC, 2012: 1056–1061.

    Google Scholar 

  18. NAKAGAWA Y. A new method for discrete optimization problem [J]. Electronics and Communications in Japan, 1990, 73(11): 99–106.

    Article  MathSciNet  Google Scholar 

  19. CONG Shuang, SONG Rui-xiang, QIAN Zhen. Improved B-spline fuzzy neural networks [J]. Control Theory and Applications, 2001, 18(2): 277–280. (in Chinese)

    MATH  Google Scholar 

  20. OHN D, SHAUGHNESSY, PINCHNEY S Z. Hypersonic vehicle simulation model: Winged-cone configuration[R]. Washington D C: NASA Technical Memorandum, 1990.

    Google Scholar 

  21. ZHAO Han-yuan. Flight vehicle reentry dynamics and guidance [M]. Changsha: National University of Defense Technology Press, 1997. (in Chinese)

    Google Scholar 

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Authors and Affiliations

  1. College of Mechatronic Engineering, North University of China, Taiyuan, 030051, China

    Yu Hu  (胡钰) & Hua Wang  (王华)

  2. Beijing Institute of Astronautic System Engineering, Beijing, 100076, China

    Yu Hu  (胡钰)

  3. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China

    Hua Wang  (王华)

  4. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China

    Zhang Ren  (任章)

Authors
  1. Yu Hu  (胡钰)
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  2. Hua Wang  (王华)
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  3. Zhang Ren  (任章)
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Correspondence to Yu Hu  (胡钰).

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Hu, Y., Wang, H. & Ren, Z. Adaptive trajectory linearization control for hypersonic reentry vehicle. J. Cent. South Univ. 23, 2876–2882 (2016). https://doi.org/10.1007/s11771-016-3351-2

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  • DOI: https://doi.org/10.1007/s11771-016-3351-2

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