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 vehiclefor tracking the desired input. The neural network isused for estimation of nonlinear parts of backstepping controller during entry to atmosphere and to estimate the nonlinear terms as well as the externaldisturbances. Numerical simulations have beenperformed to verify the performance of the proposed control method

کلیدواژه ها:

Reentry vehicle ، Backstepping control ، Neural network estimation ، Feedforward neural network