Adaptive Control of Synthetic Jet Arrays with Unknown Nonlinearities

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$746,468.00
Award Year:
2006
Program:
STTR
Phase:
Phase II
Contract:
FA9550-05-C-0186
Award Id:
67967
Agency Tracking Number:
F045-027-0182
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
120839477
Principal Investigator:
Jason Burkholder
Sr. Research Scientist
(434) 973-1215
burkholder@bainet.com
Business Contact:
David Ward
President
(434) 973-1215
barron@bainet.com
Research Institution:
UNIV. OF WYOMING
Roger Wilmot
Research Office
1000 E. University, Dept. 3355
Laramie, WY, 82071
(307) 766-5320
Nonprofit college or university
Abstract
Active flow control using synthetic jet actuators has been the subject of significant research in recent years. Modulated input signals to achieve flow control objectives have been shown to be highly nonlinear and complex. Developing a comprehensive, wind tunnel-validated model of synthetic jet actuators in a single application is technically challenging and expensive. Given the varied and growing list of synthetic jet applications, it is essential that adaptive control techniques be developed that achieve performance objectives without requiring comprehensive models. In Phase I, Barron Associates and its research partners at the University of Virginia and the University of Wyoming developed adaptive control algorithms for arrays of synthetic jet actuators based on a proven adaptive inverse control technique. We successfully demonstrated these algorithms in simulation and designed a Phase II wind tunnel experiment. In Phase II, we will: (1) expand and formalize the control theory; (2) implement the control algorithms in real-time hardware; (3) fabricate an innovative wind tunnel model with integrated synthetic jet actuators, and; (4) conduct wind tunnel experiments to demonstrate adaptive control to meet both flow separation mitigation and virtual shaping objectives. The wind tunnel experiments will be conducted at the U.S. Air Force Academy.

* information listed above is at the time of submission.

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