CaltechAUTHORS
  A Caltech Library Service

Neural networks for active drag reduction in fully turbulent airflows

Babcock, David and Goodman, Rodney and Lee, Changhoon and Kim, John (1997) Neural networks for active drag reduction in fully turbulent airflows. In: Fifth International Conference on Artificial Neural Networks. IEEE , Piscataway, NJ, pp. 193-198. ISBN 0-85296-690-3. https://resolver.caltech.edu/CaltechAUTHORS:20190320-124453146

[img] PDF - Published Version
See Usage Policy.

487Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20190320-124453146

Abstract

This paper presents the application of a neural network controller to the problem of active drag reduction in a fully turbulent 3D fluid flow regime. Based on a successful yet infeasible previous active control scheme, we trained a neural network to mimic the control law using only surface spanwise shear stress measurements. We then demonstrate the ability of a neural controller implemented in an adaptive inverse model scheme to maintain a drag-reduced flow in a fully turbulent fluid simulation. By observing the weights of the on-line controller, a simple control law that predicts actuations proportional to the spanwise derivative of the spanwise shear stress is derived. Finally we examine the amount of parameter variation that may be required for a physical implementation of linear and nonlinear neural controllers.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1049/cp:19970725DOIArticle
Additional Information:© 1997 IEEE. This work is supported in part by the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation Engineering Research Center Program under grant EEC-9402726; and by the California Trade and Commerce Agency, Office of Strategic Technology under grant C94-0165. This work is also supported in part by ARPA/ONR under grant no. N00014-93-1-0990, and by an AFOSR University Research Initiative grant no. F4962093-1-0332. Computer time has been supplied by the San Diego Supercomputer Center and by the NAS program at NASA Ames Research Center.
Funders:
Funding AgencyGrant Number
NSFEEC-9402726
California Trade and Commerce AgencyC94-0165
Office of Naval Research (ONR)N00014-93-1-0990
Air Force Office of Scientific Research (AFOSR)F4962093-1-0332
Center for the Mathematics of Information, CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20190320-124453146
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190320-124453146
Official Citation:D. Babcock, R. Goodman, Changhoon Lee and J. Kim, "Neural networks for active drag reduction in fully turbulent airflows," Fifth International Conference on Artificial Neural Networks (Conf. Publ. No. 440), Cambridge, UK, 1997, pp. 193-198. doi: 10.1049/cp:19970725
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93995
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Mar 2019 20:00
Last Modified:03 Oct 2019 20:59

Repository Staff Only: item control page