Fuzzy Sliding Mode Control design for reusable launch vehicles

This paper presents a Fuzzy Sliding Mode Control method for Reusable Launch Vehicles (RLV) in re-entry stage. RLV is a good measure to reduce transportation costs and improve launch vehicle performance effectively. The major contributions of this paper are as follows. Firstly, the non-linear mathematical model of reusable launch vehicle is introduced. And its characteristics are analyzed. Then, an attitude controller is designed by a combination of sliding mode control technology with fuzzy control technology. Finally, the simulations were performed based on the presented mathematical model and the designed controller.

[1]  Hugh F. Durrant-Whyte,et al.  Fuzzy sliding-mode controllers with applications , 2001, IEEE Trans. Ind. Electron..

[2]  Zhang Ren,et al.  Profile-tracking entry guidance using adaptive global sliding mode control theory , 2011, 2011 International Conference on Electrical and Control Engineering.

[3]  Shi Zhong-ke.  Several Problems of Flight Characteristics and Flight Control for Hypersonic Vehicles , 2005 .

[4]  Song Jian-shuang.  Fuzzy Sliding Mode Control for Hypersonic Re-entry Vehicles , 2011 .

[5]  A. J. Krijgsman,et al.  Fuzzy logic control of aircraft - A straightforward MIMO design , 1996 .

[6]  Ren Zhang,et al.  Adaptive robust control based on T-S fuzzy-neural systems for a hypersonic vehicle , 2011, 2011 International Conference on Electrical and Control Engineering.

[7]  Jahng-Hyon Park,et al.  Auto-tuning of sliding mode control parameters using fuzzy logic , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[8]  J.Z. Liu,et al.  Fuzzy Sliding Mode Attitude Control of Satellite , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[9]  Axel Roenneke.  Overview of European RLV Demonstrator Vehicles , 2003 .

[10]  J. A. Mulder,et al.  Intelligent flight controller design with fuzzy logic for an atmospheric re-entry vehicle , 2000 .

[11]  Magdy M. Abdelhameed.  Enhancement of sliding mode controller by fuzzy logic with application to robotic manipulators , 2005 .

[12]  N. N. Pilyugin,et al.  Study of the aerodynamic characteristics of cone-sphere models in a hypersonic flow , 2006 .