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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 718125, 11 pages
http://dx.doi.org/10.1155/2014/718125
Research Article

Research on RBV Control Strategy of Large Angle Maneuver

1Department of Astronautics Engineering, Harbin Engineering University, Harbin 150001, China
2Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China

Received 11 July 2013; Revised 20 October 2013; Accepted 21 November 2013; Published 28 January 2014

Academic Editor: Lixian Zhang

Copyright © 2014 Jiangtao Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Considering the hypersonic aerospace vehicle, with high dynamic, strong varying parameters, strong nonlinear, strong coupling, and the complicated flight environment, conventional flight control methods based on linear system may become invalid. To the high precision and reliable control problem of this vehicle, nonlinear flight control strategy based on neural network robust adaptive dynamic inversion is proposed. Firstly, considering the nonlinear characteristics of aerodynamic coefficients varying with Mach numbers, attack angle, and sideslip angle, the complete nonlinear 6-DOF model of RBV is established. Secondly, based on the time-scale separation, using the nonlinear dynamic inversion control strategy achieves the pseudolinear decoupling of RBV. And then, using the neural network with single hidden layer approximates the dynamic inversion error for system model uncertainty. Next, the external disturbance and network approximating error are suppressed by robust adaptive control. Finally, using Lyapunov’s theory proves that all error signals of closed loop system are uniformly bounded finally under this control strategy. Nonlinear simulation verifies the feasibility and validity of this control strategy to the RBV control system.