Accession Number : ADA329654
Title : Thrust-Induced Effects on a Pitching-Up Delta Wing Flow Field: Control of Stalled Wings
Descriptive Note : Final rept. 1 Sep 94-31 Aug 95
Corporate Author : FLORIDA STATE UNIV TALLAHASSEE DEPT OF MECHANICAL ENGINEERING
Personal Author(s) : Van Dommelen, L.
PDF Url : ADA329654
Report Date : 22 NOV 1995
Pagination or Media Count : 5
Abstract : Neural network procedures were explored with the objectives to control a delta wing in the non-linear domain. Results show that neural networks are well suited to represent non-linear computed lift and pressure forces on delta wings. A model problem, the flare maneuver, suggests that neural network controllers can perform well for non-linear systems provided that suitable input and training data are provided to it.
Descriptors : *NEURAL NETS, *FLIGHT MANEUVERS, *DELTA WINGS, COMPUTERIZED SIMULATION, SOFTWARE ENGINEERING, FLIGHT TRAINING, AERODYNAMIC STABILITY, ANGLE OF ATTACK, AERODYNAMIC LOADING, AERODYNAMIC LIFT.
Subject Categories : Aerodynamics
Distribution Statement : APPROVED FOR PUBLIC RELEASE