DocumentCode :
3294751
Title :
Multiple model based flight control design
Author :
Thampi, Geetha K. ; Principe, Jose C. ; Motter, Mark A. ; Cho, Jeongho ; Lan, Jing
Author_Institution :
Computational NeuroEngineering Lab., Florida Univ., Gainesville, FL, USA
Volume :
3
fYear :
2002
fDate :
4-7 Aug. 2002
Abstract :
Flight control system for high performance aircraft has been an area of intense research. There is a need for sophisticated control strategies that aim for better performance under severe flying conditions. The coupled and time varying dynamics of these systems make the identification problem complicated. This paper addresses the problem of modeling and controlling non-linear systems by utilizing a self-organizing map (SOM). The proposed method uses multiple models of the non-linear plant for identification, as well as a multi-model controller. The mathematical formulation of the controller algorithm and the switching strategy are discussed. Preliminary results of using the proposed strategy for the identification and control of a high performance aircraft are presented to demonstrate the versatility of the algorithm.
Keywords :
aerospace control; identification; neurocontrollers; nonlinear control systems; self-organising feature maps; time-varying systems; aircraft flight control design; controller algorithm; identification; multiple model; nonlinear plant; nonlinear system; self-organizing map; switching strategy; time varying dynamics; Adaptive control; Aerodynamics; Aerospace control; Aircraft; Control systems; NASA; Nonlinear control systems; Nonlinear dynamical systems; Programmable control; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
Type :
conf
DOI :
10.1109/MWSCAS.2002.1186988
Filename :
1186988
Link To Document :
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