Skip to main content
Log in

Adaptive guidance law design based on characteristic model for reentry vehicles

  • Published:
Science in China Series F: Information Sciences Aims and scope Submit manuscript

Abstract

In this paper an adaptive guidance law based on the characteristic model is designed to track a reference drag acceleration for reentry vehicles like the Shuttle. The characteristic modeling method of linear constant systems is extended for single-input and single-output (SISO) linear time-varying systems so that the characteristic model can be established for reentry vehicles. A new nonlinear differential golden-section adaptive control law is presented. When the coefficients belong to a bounded closed convex set and their rate of change meets some constraints, the uniformly asymptotic stability of the nonlinear differential golden-section adaptive control system is proved. The tracking control law, the nonlinear differential golden-section control law, and the revised logical integral control law are integrated to design an adaptive guidance law based on the characteristic model. This guidance law overcomes the disadvantage of the feedback linearization method which needs the precise model. Simulation results show that the proposed method has better performance of tracking the reference drag acceleration than the feedback linearization one.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. She W X, Zhou F Q, Zhou J. Nonlinear variable structure guidance law. J Astr, 2003, 24(6): 638–641

    Google Scholar 

  2. Guo J G, Shui Z S, Zhou F Q, et al. Guidance law of reentry vehicle with terminal angular constraint. J Proj Rockets, Missiles and Guidance, 2006, 26(2): 1081–1083

    Google Scholar 

  3. Harpold J, Graves C, Graves C. Shuttle entry guidance. J Astr Sci, 1979, 27(3): 239–268

    Google Scholar 

  4. Leavitt J, Saraf A, Chen D T, et al. Performance of evolved acceleration guidance logic for entry (EAGLE). AIAA Technical Report, 2002–4456

  5. Yang X L, Mease K D. Entry guidance and trajectory tracking error analysis. J Astr, 2004, 25(3): 283–288

    Google Scholar 

  6. Mease K D, Kremer J P. Shuttle entry guidance revisited. AIAA Technical Report, 92–4450

  7. Lu P, Hanson J M. Entry guidance for the X-33 vehicle. J Spacecraft and Rockets, 1998, 35(3): 342–349

    Article  Google Scholar 

  8. Wu H X. All-coefficient Adaptive Control Theory and Its Application. Beijing: National Defense Industry Press, 1990

    Google Scholar 

  9. Wu H X, Liu Y W, Liu Z H, et al. Characteristic modeling and the control of flexible structure. Sci China Ser F-Inf Sci, 2001, 44(4): 278–291

    MATH  Google Scholar 

  10. Hu J. All-coefficient adaptive reentry lifting control of manned spacecraft. J Astronautics, 1998, 19(1): 8–12

    Google Scholar 

  11. Wang X J. Spacecraft Entry and Return Technology. Beijing: Astronautics Press, 1991.

    Google Scholar 

  12. Sun D Q, Wu H X. Characteristic modeling and adaptive fuzzy control method of MIMO higher-order linear time-varying systems. J Astr, 2005, 26(6): 677–692

    Google Scholar 

  13. Wu H X, Wang Y, Xie Y C. Nonlinear golden-section adaptive control. J Astr, 2002, 23(6): 1–8

    Google Scholar 

  14. Sun D Q, Wu H X. Uniformly asymptotic stability of the 4th-order time-varying discrete systems. Contr Theory Appl, 2006, 23(6): 845–852

    MATH  Google Scholar 

  15. Xie Y C, Wu H X. The application of the golden section in adaptive robust controller design. Acta Automat Sin, 1992, 18(2): 177–185

    Google Scholar 

  16. Lu P. Entry guidance and trajectory control for reusable launch vehicles, AIAA Technical Report, 96–3700

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to JunChun Yang.

Additional information

Supported by the National Natural Science Foundation of China (Grant No. 90405017) and the “973” Program (Grant No. 2002CB312205)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, J., Hu, J. & Ni, M. Adaptive guidance law design based on characteristic model for reentry vehicles. Sci. China Ser. F-Inf. Sci. 51, 2005–2021 (2008). https://doi.org/10.1007/s11432-008-0109-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-008-0109-y

Keywords

Navigation