Application of Fuzzy Sliding Mode Control in Reentry Trajectory Guidance of CAV

REN Yang; LIU Zi-yang; LIU Wei

doi:10.3969/j.issn.1671-637x.2017.04.022

[1] RICHIE G. The common aero vehicle-space delivery system of the future［C］//AIAA Space Technology Conference and Exposition, Albuquerque, NM, 1999: 1-11.

[2] SARAF A, CHEN D T, LEAVITT J A, et al. Design and evaluation of an acceleration guidance algorithm for entry［J］. Journal of Guidance, Control and Dynamics, 2004, 41(6): 986-996.

[3] LEAVITT L A, MEASE K D. Feasible trajectory generation for atmospheric entry guidance［J］. Journal of Guidance, Control and Dynamics, 2007, 30(2): 472-481.

[4] FOGLE F, DUKEMAN G A. Profile-following entry guidance using linear quadratic regulator theory［C］//AIAA Guidance, Navigation, and Control Conference and Exhibit. Monterey, CA, 2002: 1-10.

[6] GHASEMI A, MORADI M, MENHAJ M B. Adaptive fuzzy sliding mode control design for a low-lift reentry vehicle［J］. Journal of Aerospace Engineering, 2012(4): 210-216.

[8] BOLLINO K, ROSS M, DOMAN D. Optimal nonlinear feedback guidance for reentry vehicles［C］//AIAA Guidance, Navigation, and Control Conference and Exhibit, Keystone, Colorado, 2006, AIAA 2006-6074. doi: 10. 251416. 2006-6074.

[10] LENNON J A, ATKINS E, FIGUEROA F, et al. Preference-based trajectory generation［J］. Aerospace Computing Information and Communication, 2009, 6(3): 1-24.

[11] SHEN Z J, LU P. Onboard generation of three-dimensional constrained entry trajectories［J］. Guidance Control Dynamics, 2003, 26(1): 111-121.