SBIR/STTR Research Award

Spatial-Temporal Control Applied to Atmospheric Adaptive Optics

Award identifier 0efcfe5e8a23d9222b7419d04a21977f46bd136b5af0a7eb727ca80072e9cf79Awarding agency Department of Defense · Air Force

Award amount

$749,984

Program and phase

SBIR · Phase II

Award year

2011

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
Department of Defense
Branch
Air Force
Recipient company
G. A. Tyler Associates, Inc.
Proposal award date
2011-04-19
Contract end date
Not reported
UEI
HZS2A49YEKW7
Solicitation number
2009.3
Topic code
AF093-010

Research abstract

ABSTRACT: The goal of this project is to develop key algorithmic components for predictive control of wavefront aberrations in aero-optics systems. Prediction should allow for improved performance over existing approaches and/or the use of low-cost commercial off-the-shelf components in these systems. One of the key components developed in the Phase I effort was a novel technique, which we dubbed GAFFE, to more efficiently estimate the velocity fields in turbulent flow scenarios. In Phase II GAFFE will be used for system identification in the predictive control algorithms under development. A detailed performance analyses will be conducted with high fidelity simulation tools to establish the effective performance envelope. A real-time control architecture will be defined including identification of computer processors that may be used in real-time implementations of these algorithms. Important applications of this work include space surveillance, laser communications and weapons, and remote sensing. Real-time adaptive optics implementations are also critically important in ground-based astronomy. BENEFIT: The product of this research is a control architecture to optimally compensate for optical disturbances due to turbulence, both free space and boundary layer, in the presence of various noise sources. Implementing this control scheme is obviously desirable in: 1) the development of laser weapons, especially to Air Force programs such as ATL, and 2) in providing defensive laser platforms on ships and military transport aircraft. In addition, the technologies developed here will also be useful in other adaptive optics applications such as laser communications, remote sensing, and astronomy. Current UAVs have no need for this technology, but existing UAVs such as Global Hawk, Predator, and Avenger are large enough to support adaptive optics in the future and may benefit from this technology. Although the number of astronomical adaptive optics systems is quite small, these systems are quite sophisticated and may greatly benefit from the work to be carried out in this proposal.

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

49 SBIR/STTR records share this UEI (1993–2020). Reported award amounts total $16,374,246. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Defense

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.