Neural Network Backstepping control of a reentry vehicle in the presence of uncertainties

In this paper, a neural network backstepping controller is designed for the control of a  reentry vehicle. The backstepping control system is applied to the nonlinear six degree of freedom dynamics of the reentry vehicle for tracking the desired input. The neural network is used for estimation of nonlinear parts of backstepping controller during entry to atmosphere and to estimate the nonlinear terms as well as the external disturbances. Numerical simulations have been performed to verify the performance of the proposed control  method.

Keywords:

Reentry Vehicle , Backstepping control , Neural network estimation , Feedforward Neural Network