Abstract
In order to solve a class of hypersonic vehicle nonlinear multi-input and multi-output (MIMO) systems control problem, a new kind of adaptive controller is designed in this paper. Backstepping is used to build the control law. To ensure the stability of each uncertain subsystem in each step, a virtual zero-order controller is given in sliding surface design, which can guarantee the robustness. A second-order filter is utilized to replace virtual input to avoid the huge computation complexity in multi-step derivatives. The effectiveness of the control law is verified by simulation even under deep uncertainty. The results suggest the feasibility of this method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Calise AJ, Buschek H (1992) Research in robust control for hypersonic vehicles. Progress report No.1 to NASA Langley Research Center. NAG-1-1451
Hall CE, Gallaher MW, Hendrix ND (1998) X-33 attitude control system design for ascent, transition, and entry flight regimes. NASA Marshall Space Flight Center. AIAA-98-4411
Kokotovic PV (2002) The joy of feedback: nonlinear and adaptive. IEEE Control Syst Mag 12(7):266–285
Lian BH, Bang H, Hurtado JE (2004) Adaptive backstepping control based autopilot design for reentry vehicle. In: Proceedings of AIAA guidance, navigation, and control conference and exhibit, AIAA, pp 2004–5328
Jagannathan S, Lewis FL (2000) Robust backstepping control of a class of nonlinear systems using fuzzy logic. Inf Sci 133(3/4):223–240
Kim KS, Kim Y (2003) Robust backstepping control for slew maneuver using nonlinear tracking function. IEEE Trans Control Syst Technol 11(6):822–829
Zhang T, Ge SS, Hang CC (2000) Adaptive neural network control for strict-feedback nonlinear systems using backstepping design. Automatica 36(12):1835–1846
Swaroop D, Gerdes JC, Yip PP et al (1997) Dynamic surface control of nonlinear systems. In: Proceedings of the American control conference. IEEE, vol 5, Los Alamitos, CA, pp 3028–3034
Swaroop D, Hedrick JK, Yip PP et al (2000) Dynamic surface control for a class of nonlinear systems. IEEE Trans Autom Control 45(10):1893–1899
Wang D, Huang J (2005) Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form. IEEE Trans Neural Netw 16(1):195–202
Shaughnessy JD, Pinckney SZ, McMinn JD (1991) Hypersonic vehicle simulation model: winged-cone configuration, NASA TM2102610, pp 1–15
Keshmiri S, Colgren R (2005) Development of an aerodynamic database for a generic hypersonic air vehicle. In: Proceedings of AIAA guidance, navigation, and control conference and exhibit, AIAA, San Francisco, CA, USA, pp 2005–6257
Acknowledgements
This research is financially supported by Foundation of the New Teachers from Northwestern Polytechnical University (No. 11GH0322). The authors are also wish to give thanks to Dr. Wang and Dr. Huang who give great ideas during the HSV FCS design.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yao, C., Wang, X., Huang, Y., Cao, Y. (2014). A Kind of Adaptive Backstepping Sliding Model Controller Design for Hypersonic Reentry Vehicle. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_73
Download citation
DOI: https://doi.org/10.1007/978-3-319-01273-5_73
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01272-8
Online ISBN: 978-3-319-01273-5
eBook Packages: EngineeringEngineering (R0)