Integrated Reconfigurable Aero and Propulsion Control for Improved Flight Safety of Commercial Aircraft

Award Information
Agency:
National Aeronautics and Space Administration
Branch:
N/A
Amount:
$100,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
NNX08CA51P
Agency Tracking Number:
074538
Solicitation Year:
2007
Solicitation Topic Code:
A1.04
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc.
500 West Cummings Park, Suite 3000, Woburn, MA, 01801-6503
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
N
Duns:
859244204
Principal Investigator
 Jovan Boskovic
 Principal Investigator
 (781) 933-5355
 jovan@ssci.com
Business Contact
 Jay Miselis
Title: Business Official
Phone: (781) 933-5355
Email: jmiselis@ssci.com
Research Institution
N/A
Abstract
The main objective of this project is to develop and test a novel innovative Integrated Reconfigurable Aero & Propulsion Control (IRAP) system that achieves flight safety improvement in commercial aircraft. The main feature of the proposed IRAP system is that it is well suited for uncertain plants containing actuators operating on different time scales. The focus under this project is on the flight control system design for aircraft with fast actuators moving the flight control surfaces, and engines characterized by a slower response. The IRAP system will be developed for operation under faults, failures, damage and other upsets. The technique that will be used to achieve the related reconfigurable control objectives is referred to as the Sequential Signal Filtering for Certainty-Equivalence Adaptive Control (SSF-CEAC). Specific Phase I tasks include: (i) Problem formulation; (i) Adaptive control design for the case of aero-only control; (ii) Adaptive control design for the case of propulsion-only control; (iii) Integrated reconfigurable aero & propulsion control design; and (iv) Performance evaluation of the IRAP system. In collaboration with Boeing Phantom Works, in Phase II we plan to pursue extensions of the proposed approach to MIMO nonlinear models, further development of control allocation strategies, pilot interface design, integrated adaptive control design for safe landing under severe failures and damage using engines only, and IRAP software toolbox development.

* information listed above is at the time of submission.

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