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Methods for the Uncertainty Quantification of Aircraft Simulation Models

Rosic, Bojana V. and Diekmann, Jobst Henning (2014) Methods for the Uncertainty Quantification of Aircraft Simulation Models. Journal of Aircraft. American Institute of Aeronautics and Astronautics (AIAA). DOI: 10.2514/1.C032856 ISBN 0021-8669 ISSN 0021-8669

Full text not available from this repository.

Official URL: http://arc.aiaa.org/doi/abs/10.2514/1.C032856

Abstract

The paper deals with the propagation of uncertainty in input parameters through the aircraft model in clean cruise configuration triggered by the elevator pulse. Assuming aerodynamic coefficients as random variables and processes, the evolution of uncertainties in the aircraft state is estimated with the help of efficient nonintrusive procedures - stochastic collocation and the nonintrusive Galerkin approaches, here contrasted to the slow convergent Monte Carlo integration. These numerical methods are implemented by using the flight simulator in a black-box manner. In this way, the set of samples of aircraft states is simply obtained by solving the corresponding systems of deterministic ordinary differential equations. Additionally, the paper provides the variance-based sensitivity analysis of a flight model carried out with the help of the polynomial-chaos approach.

Item URL in elib:https://elib.dlr.de/91348/
Document Type:Article
Title:Methods for the Uncertainty Quantification of Aircraft Simulation Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rosic, Bojana V.bojana.rosic (at) tu-braunschweigUNSPECIFIED
Diekmann, Jobst HenningInstitut für FlugsystemtechnikUNSPECIFIED
Date:20 October 2014
Journal or Publication Title:Journal of Aircraft
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.2514/1.C032856
Publisher:American Institute of Aeronautics and Astronautics (AIAA)
ISSN:0021-8669
ISBN:0021-8669
Status:Published
Keywords:Uncertainty Quantification, Flight Dynamics Model, Stochastic Collocation, Galerkin Approach, Monte Carlo
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Flight Dynamics and Simulation
Deposited By: Diekmann, Dr. Jobst Henning
Deposited On:05 Feb 2015 17:07
Last Modified:08 Mar 2018 18:41

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