DocumentCode :
2823751
Title :
Dynamic inversion based on neural network applied to nonlinear flight control system
Author :
Qian, Kechang ; Chen, Zili
Author_Institution :
Ordance Eng. Coll., Shijiazhuang, China
Volume :
1
fYear :
2010
fDate :
21-24 May 2010
Abstract :
Modern flight control system is always a complicated nonlinear flight control system, this paper presents a control method of dynamic inversion based on neural network applied to nonlinear flight control system. Through analyzes the decoupling inversion and tracking principle of neural network, a dynamic neural network is presented, which consist of static neural network and integrators. Based on the dynamic neural network, a control method of dynamic inversion used for multi-variable nonlinear flight control system is designed, and simulation of flight control system of power parafoil is made. Simulation results demonstrate that the control method has strong ability of control and robustness.
Keywords :
aerospace control; neural nets; nonlinear control systems; decoupling inversion; dynamic inversion; dynamic neural network; integrators; multivariable nonlinear flight control system; neural network tracking principle; power parafoil; static neural network; Aerospace control; Aerospace engineering; Arithmetic; Control systems; Educational institutions; Electronic mail; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; dynamic inversion; flight control system; neural network; nonlinear system control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497341
Filename :
5497341
Link To Document :
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