Abstract
The intelligent autonomous control of hypersonic vehicles has aroused great interest from the field of spacecraft. To solve the problem of longitudinal attitude control of hypersonic vehicle in gliding phase, a new intelligent controller is proposed in this paper. This new controller is based on the fuzzy dynamic characteristic modeling method. The fuzzy logic is introduced into the characteristic modeling by dividing the whole restriction range into several subspaces. Simulations show that this modification greatly improves the performance of the original method. With the same whole restriction range the fuzzy dynamic characteristic modeling decreases the time of convergence, and at the same time makes the attitude angle tracing more precise and robust. Since the sub-model is a characteristic model that has stronger adaptiveness than a fixed local model, the number of fuzzy rules is greatly reduced. Our model sharply reduces the complexity in constructing a fuzzy dynamic model. Finally, simulation results are given to show the effectiveness of the proposed approach in dealing with the attitude control problem of hypersonic vehicle in gliding phase.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
NASA. News about the space craft X-37. At: Nasa official web site, http://www.msfc.nasa.gov/news/x37news/index.html
Liu Y B. Research on modeling and advanced flight control theories for hypersonic vehicle (in Chinese). Ph.D. thesis, Nanjing: Nanjing University of Aeronautics and Astronautics, 2007
Lu P, Hanson J M. Entry guidance for the X-33 vehicle. J Spacecraft Rockets, 1998, 35: 342–349
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: 278–291
Yang J C, Hu J, Ni M L. Adaptive guidance law design based on characteristic model for reentry vehicles. Sci China Ser F-Inf Sci, 2008, 51: 2005–2021
Meng B, Wu H X, Lin Z L, et al. Characteristic model based control of the X-34 reusable launch vehicle in its climbing phase. Sci China Ser F-Inf Sci, 2009, 52: 2216–2225
Luo X, Sun Z Q, Sun F C. A new approach to fuzzy modeling and control for nonlinear dynamic systems: neuro-fuzzy dynamic characteristic modeling and adaptive control mechanism. Int J Control Autom Syst, 2009, 7: 123–132
Wang Q, Stengel R F. Robust nonlinear control of a hypersonic aircraft. J Guid Control Dyn, 2000, 23: 577–585
Meng B, Wu H X. The proof for characteristic model of linear constant-coefficient system (in Chinese). Sci China Ser E-Inf Sci, 2007, 37: 1258–1271
Wang L X, Mendel J M. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Trans Neural Networks, 1992, NN-3: 807–814
Cao S G, Rees N W, Feng G. Analysis and design for a class of complex control systems (Part I: fuzzy modelling and identification). Automatica, 1997, 33: 1017–1028
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Luo, X., Li, J. Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase. Sci. China Inf. Sci. 54, 448–459 (2011). https://doi.org/10.1007/s11432-011-4193-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-011-4193-z