Dynamic surface backstepping control design for one hypersonic vehicle

Abstract

Based on multilayer neural networks, feedback linearization technology, and backstepping design method, a novel robust adaptive control design method is proposed for one hypersonic vehicle(HSV) uncertain MIMO nonaffine block control system. Multilayer neural networks are used to identify the nonlinear uncertainties of the system. A continuous robust term is adopt to minify the influence of the multilayer neural networks construction error, the dynamic surface control strategy to eliminate “the explosion of terms” by introducing a series of first order filters to obtain the differentiation of the virtual control inputs. Finally, nonlinear six-degree-of-freedom (6-DOF) numerical simulation results for a HSV model are presented to demonstrate the effectiveness of the proposed method.