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Nonlinear Lateral Command Control Using Neural Network for F-16 Aircraft

Suresh, S and Kannan, N and Omkar, SN and Mani, V (2005) Nonlinear Lateral Command Control Using Neural Network for F-16 Aircraft. In: 2005 American Control Conference, 8-10 June, Portland,USA, Vol.4, 2658-2663.

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Abstract

A discrete time neural network based lateral controller design for an F-16 nonlinear model is presented. The controller is designed using model reference indirect adaptive control and the input output representation and control law for nonlinear model are established using system theory. The input-output representation and control law are approximated using neural networks with linear filters. The design takes into account the multi input multi output nature of the lateral model. Roll rate and side slip commands are used to generate reference signals and the neural networks are trained to follow the reference signals. Nonlinear simulation results are given to prove the effectiveness of the controller.

Item Type: Conference Paper
Additional Information: Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:28
URI: http://eprints.iisc.ernet.in/id/eprint/7167

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