Thrust-Induced Effects on a Pitching-Up Delta Wing Flow Field: Control of StalledWings

摘要

Neural network procedures were explored with the objectives to control a deltawing 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.