SBIR/STTR Research Award

Multivariable Integrator Windup Protection for Aircraft Flight ControlSystem using Model Predictive Controller.

Award identifier 06a9c3854d9e1a179a12d68207c64ab4e34e11d38ba64fd5c1bfe6bdaed22bd0Awarding agency Department of Defense · Navy

Award amount

$70,000

Program and phase

SBIR · Phase I

Award year

1996

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
Navy
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
C12TQVKF5413
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The Joint Strike Fighter (JSF) program is underway to develop prototypes for the next generation fighter aircraft. The prototypes in all likelihood will entail a CTOL and STOVL configuration. Both confirgurations are expected tohave numerous control effectors to satisfy the mission requirements. Integrator wind-up protection (IWP) is particularly critical with STOVL control law design problem because the system is so often operating on limits (thrust and vectoring limits) in powered-lift flight. The same situation exists with current Navy Fighters such as F-18 E/F during operation at high angles-of-attack. Complicating factors are (i) the compensators often have a large number of states and (ii) the control law needs to operate on numerous control effectors. Traditional methods of using single-loop-at-a-time protection by freezing the integrators are impractical when state and output variables are numerous and cross-coupled. we propose her the use of a Model Predictive Control (MPC) approach for the design of supervisory controller to satisfy the constraints on the input and output variables for Robust Multivariable Control (RMC) design. MPC approach modifies the command inputs to the RMC controller in an optimal way to keep all the constraints satisfied. Since the disparity between the commanded inpus and the actual inputs to the aircraft are eliminated, no integrator wind-up problem occurs. Phase I will involve the selection of a suitable aircraft simulation with RMC design and the development and testing of MPC for IWP under different flight conditions. SAIC's System Technology Group and Lockheed-Martin's Tactical Aircraft Systems Division will provide technical support during Phases I and II of the project and commercialization support during Phase III.

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

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. 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, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

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.