SBIR/STTR Research Award

On-Line Flutter Prediction Tool for Wind Tunnel Flutter Testing using Parameter Varying Estimation Methodology

Award identifier 8926e6e13baf5ff0942491ba778fabf163fecda5f8aadeedbe85a2a5cf829c74Awarding agency National Aeronautics and Space Administration

Award amount

$99,917

Program and phase

SBIR · Phase I

Award year

2010

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ZONA TECHNOLOGY INC
Proposal award date
2010-01-29
Contract end date
2010-07-29
UEI
LYMKH9UK64J7
Solicitation number
Not reported
Topic code
A2.04

Research abstract

ZONA Technology, Inc. (ZONA) proposes to develop an on-line flutter prediction tool for wind tunnel model using the parameter varying estimation (PVE) technique to ensure the safety of the flutter model as well as the wind tunnel system. This tool will be applied to rapidly evaluate parameters, such as modal damping and frequency, which are required to assess the flutter boundary of a wind tunnel model in the pre-flutter test conditions. In this PVE Toolbox, system identification techniques such as Polymax and Subspace methods are employed to consistently estimate the damping/frequency of the physical modes, followed by the implementation of Zimmerman-Weissenburger flutter margin method, linear parameter varying modeling combined with µ analysis, and/or thin plate interpolation method for flutter boundary prediction. In order to minimize the dependence on the experience for obtaining a reliable flutter prediction, an accurate estimation of the auto-spectrum of the output data, k-mean stochastic algorithm for automate modes selection are developed to enhance the on-line capability of the PVE Toolbox. The end product PVE Toolbox can be used by the test engineer as an on-line flutter prediction tool in the wind tunnel to effectively make a timely decision for proceeding to the next test point.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

96 SBIR/STTR records share this UEI (1997–2021). Reported award amounts total $29,806,305. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.