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Greedy Sampling and Incremental Surrogate Model-Based Tailoring of Aeroservoelastic Model Database for Flexible AircraftThis paper presents a data analysis and modeling framework to tailor and develop linear parameter-varying (LPV) aeroservoelastic (ASE) model database for flexible aircrafts in broad 2D flight parameter space. The Kriging surrogate model is constructed using ASE models at a fraction of grid points within the original model database, and then the ASE model at any flight condition can be obtained simply through surrogate model interpolation. The greedy sampling algorithm is developed to select the next sample point that carries the worst relative error between the surrogate model prediction and the benchmark model in the frequency domain among all input-output channels. The process is iterated to incrementally improve surrogate model accuracy till a pre-determined tolerance or iteration budget is met. The methodology is applied to the ASE model database of a flexible aircraft currently being tested at NASA/AFRC for flutter suppression and gust load alleviation. Our studies indicate that the proposed method can reduce the number of models in the original database by 67%. Even so the ASE models obtained through Kriging interpolation match the model in the original database constructed directly from the physics-based tool with the worst relative error far below 1%. The interpolated ASE model exhibits continuously-varying gains along a set of prescribed flight conditions. More importantly, the selected grid points are distributed non-uniformly in the parameter space, a) capturing the distinctly different dynamic behavior and its dependence on flight parameters, and b) reiterating the need and utility for adaptive space sampling techniques for ASE model database compaction. The present framework is directly extendible to high-dimensional flight parameter space, and can be used to guide the ASE model development, model order reduction, robust control synthesis and novel vehicle design of flexible aircraft.
Document ID
20180000581
Acquisition Source
Armstrong Flight Research Center
Document Type
Conference Paper
Authors
Wang, Yi
(South Carolina Univ. Columbia, SC, United States)
Pant, Kapil
(CFD Research Corp. Huntsville, AL, United States)
Brenner, Martin J.
(NASA Armstrong Flight Research Center Edwards, CA, United States)
Ouellette, Jeffrey A.
(NASA Armstrong Flight Research Center Edwards, CA, United States)
Date Acquired
January 17, 2018
Publication Date
January 8, 2018
Subject Category
Aerodynamics
Numerical Analysis
Report/Patent Number
AFRC-E-DAA-TN46456
Meeting Information
Meeting: SciTech 2018 Forum
Location: Orlando, FL
Country: United States
Start Date: January 8, 2018
End Date: January 12, 2018
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNX15CD03C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
numerical analysi
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