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

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 convergen...

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Main Authors: Wendong Gai, Honglun Wang, Jing Zhang, Yuxia Li
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/452653
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author Wendong Gai
Honglun Wang
Jing Zhang
Yuxia Li
author_facet Wendong Gai
Honglun Wang
Jing Zhang
Yuxia Li
author_sort Wendong Gai
collection DOAJ
description 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.
format Article
id doaj-art-7c65d63cbc3a4ce389bc80dc6f822a5f
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-7c65d63cbc3a4ce389bc80dc6f822a5f2025-08-20T03:35:44ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/452653452653Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight ControlWendong Gai0Honglun Wang1Jing Zhang2Yuxia Li3College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaScience and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, ChinaCollege of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaAn 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.http://dx.doi.org/10.1155/2013/452653
spellingShingle Wendong Gai
Honglun Wang
Jing Zhang
Yuxia Li
Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
Journal of Applied Mathematics
title Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
title_full Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
title_fullStr Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
title_full_unstemmed Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
title_short Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
title_sort adaptive neural network dynamic inversion with prescribed performance for aircraft flight control
url http://dx.doi.org/10.1155/2013/452653
work_keys_str_mv AT wendonggai adaptiveneuralnetworkdynamicinversionwithprescribedperformanceforaircraftflightcontrol
AT honglunwang adaptiveneuralnetworkdynamicinversionwithprescribedperformanceforaircraftflightcontrol
AT jingzhang adaptiveneuralnetworkdynamicinversionwithprescribedperformanceforaircraftflightcontrol
AT yuxiali adaptiveneuralnetworkdynamicinversionwithprescribedperformanceforaircraftflightcontrol