DocumentCode :
1592860
Title :
Application of intelligence technology in super-maneuverable flight control
Author :
Jie, LI ; Kai, Liu ; Hang, XU ; Li, LI
Author_Institution :
The First Aeronautical Institute of Air Force
fYear :
2008
Firstpage :
1185
Lastpage :
1188
Abstract :
This paper introduces the control strategy and method of non-linear dynamic inversion. Depending on the thought of dynamic inversion, the mathematical model of super-maneuverable aircraft is set up and the simulation curves are produced. Through analyzing the curves, we can draw out the feasibility and limitation of non-linear dynamic inversion.This paper introduces below contents :the feasibility of dynamic inversion in super-maneuverable flight; the modeling error and inversion error; the influence on super-maneuverable flight caused by uncertain factors. To solve above problems, the paper points out two kinds of methods. One is fuzzy self-adaptive technology. It describes the characteristic of fuzzy controller and points out its limitation that it can¿t be used to eliminate the error caused by uncertain factors. The other is neural network technology. It describes the dynamic inversion off-line neural network controller. On-line neural network controller eliminates error. At last the conclusion is gotten that neural network is more advantageous and the development direction of super-maneuverable flight.
Keywords :
Aerodynamics; Aerospace control; Aircraft propulsion; Error correction; Fuzzy control; Mathematical model; Neural networks; Nonlinear dynamical systems; Nonlinear equations; State feedback; Super-maneuverable flight, dynamic inversion; fuzzy self-adaptive, neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
Type :
conf
DOI :
10.1109/RAMECH.2008.4690876
Filename :
4690876
Link To Document :
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