Adaptive Fuzzy Sliding Mode Control Design for a Low-Lift Reentry Vehicle
Publication: Journal of Aerospace Engineering
Volume 25, Issue 2
Abstract
In this paper, a multioutput trajectory control of a reentry vehicle is presented. Adaptive fuzzy sliding mode control with an adjustable structure of the membership function is employed. The main goal of the adjustable structure is that the span of the membership function covers all the variations of the fuzzy inputs. The fuzzy inputs include the altitude, velocity, and flight path angle of the vehicle. The sliding surface is designed in two steps. At the first step, the error of the flight path angle is solely employed. Then, to improve the performance, the altitude and velocity of the reentry are added to sliding surface. The stability of the closed loop system is proven on the basis of the Lyapunov approach. To consider performance of the closed loop system, some simulations are done. The results show outperformance of the proposed method.
Get full access to this article
View all available purchase options and get full access to this article.
References
Caruntu, B., Negrea, R., and Luminosu, I. (2008). “Optimal control in trajectory planning for a re-entry vehicle.” Journal of Automatic Control, Univ. of Belgrade, 18Belgrade, Serbia, (1), 1–4.
Cavallo, A., Ferrara, F. (1996). “ Atmospheric re-entry control for low lift/drag vehicles.” J. Guid. Control. Dyn.JGCDDT, 19(1), 47–53.
Chawla, C., Samah, P., Padhi, R. (2010). “Suboptimal reentry guidance of a reusable launch vehicle using pitch plane maneuver.” Aerosp. Sci. Technol., 14(6), 377–386.
Eliasi, H., Davilu., H., Menhaj., M. B. (2007). “Adaptive fuzzy model based predictive control of nuclear steam generators.” Nucl. Eng. Des.NEDEAU, 237(6), 668–676.
Menon, P. P., (2009). “Robustness analysis of a reusable launch vehicle flight control law.” Control Eng. Pract.COEPEL, 17(7), 751–765.
Moradi, M. (2009). “Satellite attitude control.” Msc thesis, Islamic Azad Univ., South Tehran Branch, Iran.
Phan, P. A., Gale, T. J. (2008). “Direct adaptive fuzzy control with a self-structuring algorithm.” Fuzzy Sets Syst.FSSYD8, 159(8), 871–899.
Reding, J. P., and Svendsen, H. O. (1990). “Lifting entry rescue vehicle configuration.” J. Spacecr. RocketsJSCRAG, 27(6), 606–612.
Roenneke, A. J., and Cronwell, P. J. (1993). “Trajectory control for a low lift entry vehicle.” J. Guidance, Control, Dyn.JGCDDT, 16(5), 927–933.
Roenneke, A. J., and Well, K. H. (1996). “Nonlinear drag-tracking control applied to optimal low-lift reentry guidance.” Guidance, Navigation and Control Conf., American Institute of Aeronautics and Astronautics (AIAA), Reston, VA.
Rubaai, A. (1999). “Direct adaptive fuzzy control design achieving tracking for high performance servo drives.” IEEE Trans. Energy Convers.ITCNE4, 14(4), 1199–1208.
Shakouri, H., and Menhaj, M. B. (2008). “A single fuzzy rule to smooth the sharpness of mixed data time and frequency domains analysis.” Fuzzy Sets Syst.FSSYD8, 159(18), 2446–2465.
Sudhir, M., and Tewari., A. (2007). “Adaptive maneuvering entry guidance with ground track control.” Aerosp. Sci. Technol., 11(5), 419–431.
Tewari, A. (2007). Atmospheric and space flight dynamics, Birkhauser, Boston.
Wang, J., Rad, A. B., and Chan, P. T. (2001). “Indirect adaptive fuzzy sliding mode control: Part 1: Fuzzy switching.” Fuzzy Sets Syst.FSSYD8, 122(1), 21–30.
Wingrove, R. C. (1963). “A survey of atmospheric re-entry guidance and control methods.” AIAA J.AIAJAH, 1(9), 2019–2029.
Wu, S. F., (2001). “Nonlinear dynamic modeling and simulation of an atmospheric re-entry spacecraft.” Aerosp. Sci. Technol., 5(5), 365–381.
Wu, S. F., (2003). “Fuzzy logic based full envelope autonomous flight control for an atmospheric re-entry spacecraft.” Control Eng. Pract.COEPEL, 11(1), 11–25.
Yaghmaee, M. H., Menhaj, M. B., Safavi., M. (2001). “Anovel FLC-based approach for ATM traffic control.” Comput. NetworksCNETDP, 36(5-6), 643–658.
Zhang, T., Ge, S. S., and Hang, C. C. (1998). “Direct adaptive control of non-affine nonlinear systems using multilayer neural networks.” Proc., American Control Conf., IEEE, New York, 515–519.
Information & Authors
Information
Published In
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Jan 3, 2011
Accepted: Apr 29, 2011
Published online: May 2, 2011
Published in print: Apr 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.