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Predicting Loss-of-Control Boundaries Toward a Piloting AidThis work presents an approach to predicting loss-of-control with the goal of providing the pilot a decision aid focused on maintaining the pilot's control action within predicted loss-of-control boundaries. The predictive architecture combines quantitative loss-of-control boundaries, a data-based predictive control boundary estimation algorithm and an adaptive prediction method to estimate Markov model parameters in real-time. The data-based loss-of-control boundary estimation algorithm estimates the boundary of a safe set of control inputs that will keep the aircraft within the loss-of-control boundaries for a specified time horizon. The adaptive prediction model generates estimates of the system Markov Parameters, which are used by the data-based loss-of-control boundary estimation algorithm. The combined algorithm is applied to a nonlinear generic transport aircraft to illustrate the features of the architecture.
Document ID
20130001722
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Barlow, Jonathan (Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Stepanyan, Vahram (Stinger Ghaffarian Technologies, Inc. (SGT, Inc.) Moffett Field, CA, United States)
Krishnakumar, Kalmanje (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 27, 2013
Publication Date
June 19, 2012
Subject Category
Avionics And Aircraft Instrumentation
Report/Patent Number
ARC-E-DAA-TN5393
Meeting Information
Meeting: AIAA Infotech@Aerospace 2012
Location: Garden Grove, CA
Country: United States
Start Date: June 19, 2012
End Date: June 21, 2012
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNA08CG8C
Distribution Limits
Public
Copyright
Public Use Permitted.

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