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Aircraft Flight Envelope Identification through On-Board Model Based Estimation

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CE91P
Agency Tracking Number: 085399
Amount: $99,881.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A1.07
Solicitation Number: N/A
Timeline
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-01-22
Award End Date (Contract End Date): 2009-07-22
Small Business Information
34 Lexington Avenue
Ewing, NJ 08618-2302
United States
DUNS: 096857313
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jefrfrey Keller
 Principal Investigator
 (609) 538-0444
 jeff@continuum-dynamics.com
Business Contact
 Barbara Agans
Title: Business Official
Phone: (609) 538-0444
Email: barbara@continuum-dynamics.com
Research Institution
N/A
Abstract

To improve aviation safety with anticipated growth in capacity, it is necessary to develop flight control technologies that enable safe operations as anomalous conditions occur. These developments are particularly important to reduce fatal loss of control accidents due to aircraft degradation and abrupt aerodynamic changes including upsets. It is necessary to develop methods to identify and characterize anomalies in flight, as well as to estimate the impacts on the flight envelope and the ability to effect control forces for recovery and/or flight planning to achieve safe landing. An approach to identify anomalies including aerodynamic upsets based on model-based fault detection methods will be combined with physics-based models to assess the impact on the aircraft flight envelope and controllability. These tools will permit off-line analysis and will facilitate the development of on-board guidance and control algorithms to support NASA goals for greater aircraft resiliency during adverse flight conditions. In Phase I, development and demonstration of a generalized system architecture to identify and assess the effects of aircraft anomalies will be performed, which builds upon previous work toward model-based aircraft upset detection. Phase I demonstrations will include simulation evaluation for a generic transport aircraft and test demonstration for a small unmanned aircraft.

* Information listed above is at the time of submission. *

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