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):

Report Date:

1995-11-22

Pagination or Media Count:

5.0

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.

Subject Categories:

  • Aerodynamics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE