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Journal of Applied Mathematics
Volume 2013, Article ID 452653, 12 pages
Research Article

Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control

1College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China

Received 16 July 2013; Revised 23 September 2013; Accepted 4 October 2013

Academic Editor: Dewei Li

Copyright © 2013 Wendong Gai 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.


An adaptive neural network dynamic inversion with prescribed performance method is proposed for aircraft flight control. The aircraft nonlinear attitude angle model is analyzed. And we propose a new attitude angle controller design method based on prescribed performance which describes the convergence rate and overshoot of the tracking error. Then the model error is compensated by the adaptive neural network. Subsequently, the system stability is analyzed in detail. Finally, the proposed method is applied to the aircraft attitude tracking control system. The nonlinear simulation demonstrates that this method can guarantee the stability and tracking performance in the transient and steady behavior.