Affiliation of Author(s):自动化学院

Journal:2017 EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP)

Key Words:Keywords Near space vehicles Stochastic perturbation Adaptive control RBFNNs Backstepping technique

Abstract:In this paper, based on pre-existing control-oriented model (COM), considering the aerodynamic coefficients suffer to stochastic perturbation, a new control model of the longitudinal dynamics with stochastic perturbation is obtained. Furthermore, by using radial basis neural networks (RBFNNs) and backstepping technique, an adaptive longitudinal control scheme is proposed for near space vehicles (NSVs) with stochastic perturbation. The developed control approach can guarantee that all closed-loop system signals are bounded in probability. Simulation results show the good tracking performance of the proposed tracking control scheme.

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Yan, Xiaohui,Xia, Rongsheng

Correspondence Author:wqx