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Nonlinear Adaptive Actuation of Synthetic Jet Arrays for Aerodynamic Flow Control

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-04-C-0065
Agency Tracking Number: F045-027-0182
Amount: $99,927.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF04-T027
Solicitation Number: N/A
Timeline
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-08-05
Award End Date (Contract End Date): 2005-05-05
Small Business Information
1410 Sachem Place, Suite 202
Charlottesville, VA 22901
United States
DUNS: 120839477
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason Burkholder
 Research Scientist
 (434) 973-1215
 burkholder@barron-associates.com
Business Contact
 David Ward
Title: President
Phone: (434) 973-1215
Email: barron@barron-associates.com
Research Institution
 University of Virginia
 Gerald J Kane
 
PO Box 400195, Office of Sponsored Programs
Charlottesville, VA 22904
United States

 (434) 924-4270
 Nonprofit College or University
Abstract

Active flow control using synthetic jet actuators has been the subject of significant research in recent years due to its immense potential to expand the operating regimes of traditional aircraft and enable unconventional designs driven by nonaerodynamic operational considerations. Barron Associates, Inc. has teamed with researchers at the University of Virginia and the University of Wyoming to propose a research program which, if successful, will significantly advance the current state-of-the-art in active flow control and move this technology towards an ultimate objective of practical flight control via "virtual" control surfaces. Three primary investigations are proposed: (1) a novel concept that has been developed for the arrangement of synthetic jet arrays to facilitate virtual shaping of an airfoil during normal flight conditions will be modeled and analyzed; (2) a practical, implementable adaptive control algorithm based on adaptive inverse techniques that have been proven effective in many previous applications in systems with unknown actuator nonlinearities will be developed and tested; and (3) an adaptive actuator failure compensation scheme will be developed that will optimize the performance of the control system in the presence of unknown actuator failures. A nonlinear tailless aircraft model will serve as the Phase I test platform.

* Information listed above is at the time of submission. *

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