NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Model Structures and Algorithms for Identification of Aerodynamic Models for Flight Dynamics ApplicationsThis paper describes model structures and parameter estimation algorithms suitable for the identification of unsteady aerodynamic models from input-output data. The model structures presented are state space models and include linear time-invariant (LTI) models and linear parameter-varying (LPV) models. They cover a wide range of local and parameter dependent identification problems arising in unsteady aerodynamics and nonlinear flight dynamics. We present a residue algorithm for estimating model parameters from data. The algorithm can incorporate apriori information and is described in detail. The algorithms are evaluated on the F-16XL wind-tunnel test data from NAS Langley Research Center. Results of numerical evaluation are presented. The paper concludes with a discussion major issues and directions for future work.
Document ID
20050232763
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Prasanth, Ravi K.
(Scientific Systems Co., Inc. Woburn, MA, United States)
Klein, Vladislav
(George Washington Univ. Washington, DC, United States)
Murphy, Patrick C.
(NASA Langley Research Center Hampton, VA, United States)
Mehra, Raman K.
(Scientific Systems Co., Inc. Woburn, MA, United States)
Date Acquired
August 23, 2013
Publication Date
August 15, 2005
Subject Category
Aerodynamics
Meeting Information
Meeting: AIAA Guidance, Navigation, and Control Conference and Exhibit
Location: San Francisco, CA
Country: United States
Start Date: August 15, 2005
End Date: August 18, 2005
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
OTHER: 23-762-65-AG
Distribution Limits
Public
Copyright
Public Use Permitted.
No Preview Available