Neural Network Backstepping control of a reentry vehicle in the presence of uncertainties
عنوان مقاله: Neural Network Backstepping control of a reentry vehicle in the presence of uncertainties
شناسه ملی مقاله: JR_JASTI-13-1_009
منتشر شده در در سال 1399
شناسه ملی مقاله: JR_JASTI-13-1_009
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:
M. Khoshnood - Department of Aerospace Engineering, K.N. Toosi University of Technology, Tehran, Iran
H. Ashoori - Faculty of Aerospace Engineering , K. N. Toosi University of Technology
خلاصه مقاله:
M. Khoshnood - Department of Aerospace Engineering, K.N. Toosi University of Technology, Tehran, Iran
H. Ashoori - Faculty of Aerospace Engineering , K. N. Toosi University of Technology
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.
کلمات کلیدی: Reentry Vehicle, Backstepping control, Neural network estimation, Feedforward Neural Network
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1706373/