Study of a neural network-based system for stability augmentation of an airplane

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Title:	Study of a neural network-based system for stability augmentation of an airplane
Author:	Isanta Navarro, Roger
Other authors:	Lizandra Dalmases, José Oriol; Nejjari Akhi-Elarab, Fatiha
Abstract:	This study aims to develop, train and evaluate a stability augmentation system for an airplane, in compilable code (C ++), using neural networks and the equations governing and airplane motion. The use of neural networks offers certain advantages in terms of learning capability, adaptability, fault tolerance and speed of response, which today are of great interest in the design of control systems.
Subject(s):	-Àrees temàtiques de la UPC::Aeronàutica i espai::Mecànica de vol::Estabilitat i control -Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Stability of airplanes -Neural networks (Computer science) -Airplanes--Control systems -Estabilitat dels avions -Xarxes neuronals (Informàtica) -Avions -- Sistemes de control
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Bachelor Thesis
Published by:	Universitat Politècnica de Catalunya
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