International Journal of Computational
Intelligence Research (IJCIR)
Volume 2, Number 1 (2006)
Neuro-Robust reentry path control of reusable launch vehicles
National Institute of Aerospace, 100 Research Dr., Hampton,Virginia, USA
XiaoHong, Stewart Feiyang, Li Bin, Song YongDuan
North Carolina A&T State University, 1601 East Market Street, Greensboro, North Carolina, USA
The performance of Crew Exploration Vehicle (CEV) is directly linked to its effective guidance and control. In this paper, we present a high performance control method for trajectory tracking of Reusable Launch Vehicles during descending phase. Algorithms for adjusting vehicle heading angle, heading speed and altitude to maintain desired lateral, longitudinal and vertical trajectory tracking are derived using neural network and robust control technique. The disturbances and coupled dynamics due to flight condition variation are compensated using neural network unit in which no analytical estimation on the upper bound of the reconstruction error and uncertainties is needed. The performance of the developed control scheme is verified via simulation.
Reusable Launch Vehicle, Path Tracking, Neuro Robust Control.