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

Khoshnood, M.; Ashoori, H.

doi:10.22034/jast.2020.119916

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

Document Type : Original Article

Authors

M. Khoshnood ¹

H. Ashoori ²

¹ Department of Aerospace Engineering, K.N. Toosi University of Technology, Tehran, Iran

² Faculty of Aerospace Engineering , K. N. Toosi University of Technology

10.22034/jast.2020.119916

Abstract

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

20.1001.1.17352134.2020.13.1.9.3

Subjects

Flight Mechanics Stability & Contorl

[1] Jingmei Zhang, Changyin Sun,Ruimin Zhang,Chengshen Qian,and Lei Xue,”Adaptive Sliding Mode Control for Reentry Attitude of Near Space Hypersonic Ve- hicle Based on Backstepping Design”,IEEE/CAA Journal of Automatic Sinca .vol.2.no.1, 2015.

[2] Jingmei Zhang, Changyian Sun,Rumin Zhang,Chengshan Qian,and Lei Xue,”Adaptive Backstepping Controller Design for Reentry Attitude of Near Hypersonic Vehicle”,springer,IScIDE 2013,Lncs 8261.pp642-648, 2013.

[3] Fang Wang, Qun Zong, and Bailing Tian,”Adaptive Backstepping Finit Time Attitude Control of Reentry RLV with Input Constraint”, Hindawi Pub- lishing Corporation Mathematical Problems in Engineering Volume, 2014.

[4] F.regan and S.andakrishnan,”Dynamics of Atmospheric Re-Entry”,’AIAA, Education Series,Published by:American Institute of Aeronautics and Astronautics.Inc, 2012.

[5] Seungho Yoon and Youdan Kim,”Constrained Adaptive Backstepping Controller Design for Aircraft Landing in Wind Disturbance and Actuator Stuck”,journal of Aeronautical and Space Sciences, 2012.

[6] Simon Haykin, ”Neural Networks A Comprehensive Foundation”,Prentice Hall International,Inc, Second Edition, 1999.

[7] Ashish Tewari,”Atmospheric and Space Flight Dynamics”, Birkhauser, 2007.