SBIR/STTR Research Award

Integrating Distributed Control into High-Fidelity Aircraft Multidisciplinary Design Optimization

Award identifier 132b7c2ad8393288b44749519dea4e4fda46a6ccf24492c2c2de80b980a4d1aeAwarding agency National Aeronautics and Space Administration

Award amount

$124,652

Program and phase

SBIR · Phase I

Award year

2019

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
CMSOFT, INC.
Proposal award date
2019-08-19
Contract end date
2020-02-19
UEI
CMZ6LMJZAMS3
Solicitation number
SBIR_19_P1
Topic code
A1

Research abstract

Developments in aircraft technology are expanding the aircraft design space in ways that would lead to vehicles controlled by large numbers of control effectors. With large numbers of leading edge and trailing edge flaps, distributed propulsion, thrust vectoring of multiple thrusters, and other aerodynamic control effectors such as active flow control devices, the growing variety of aerodynamic, aeroservoelastic, and propulsive controllers for new configurations, if integrated into the multidisciplinary design optimization of revolutionary flight vehicles from the start of the design, may lead to major improvements in aircraft performance and to new capabilities not possible with current designs. Simultaneously, advancements in computing power, mathematical modeling of aerospace systems, and in methods of large-scale optimization promise to make it practical to integrate the synthesis of distributed control systems into the multidisciplinary design optimization of aircraft from very early in the design, covering, in addition to optimal control, all other key disciplines. The proposed work will develop methods and create computational tools that would allow integration of automatic control based on large numbers of control effectors of different types into the multidisciplinary design optimization of aircraft. Key elements of the new contribution would focus on the control of aircraft based on large numbers of control effectors from both the control perspective (how to make such control synthesis ldquo;design orientedrdquo; and practical) and from the physics modeling perspective (how to base the optimization process on mathematical models of the coupled systems that capture, with high-fidelity, their physical behavior well). Design tradeoffs that the new computational capability would lead to will be based on reliable high-fidelity modeling and associated reduced order models in all disciplines, including aerodynamics, structures, propulsion, and control system hardware.

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.

Research funding history

26 SBIR/STTR records share this UEI (2005–2025). Reported award amounts total $12,259,379. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

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.