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Frequency Domain Quasi-Maximum Likelihood Identification of Low Order Aeroservoelastic Models from Flight-Test DataBackground and Motivation
- Low Order Equivalent System (LOES)
- From handling qualities analysis
- Traditionally simplifying complex control law and plant
- More easily understood form
- Extend LOES to a complex model due to aeroelasticity
- Maximum likelihood (Filter Error) System Identification
- Z = H_loes (U + W) + V
- There are a lot of parameters
- System identification usually simplifies by assuming a value
- Output Error and Equation Error
- Results in biased estimates of the parameters
- We are proposing a new method to solving this problem
Document ID
20220018190
Acquisition Source
Armstrong Flight Research Center
Document Type
Video
Authors
Jeffrey Ouellette
(Armstrong Flight Research Center Rosamond, California, United States)
Chris J. Miller
(Armstrong Flight Research Center Rosamond, California, United States)
Matthew J. Boucher
(Armstrong Flight Research Center Rosamond, California, United States)
Date Acquired
December 1, 2022
Subject Category
Aeronautics (General)
Meeting Information
Meeting: AIAA Science and Technology (SciTech) Forum and Exposition 2023
Location: National Harbor, MD
Country: US
Start Date: January 23, 2023
End Date: January 27, 2023
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 981698
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Technical Management
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