Title: Determination of model structure from flight test with generalized additive models
Authors : Monstein, Raphael
Capone, Pierluigi
Dettling, Marcel
Published in : Journal of Aircraft
Volume(Issue) : 0
Issue : 0
Publisher / Ed. Institution : American Institute of Aeronautics and Astronautics
Issue Date: 23-Jan-2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Publication)
Language : English
Subjects : Generalized additive model; Parameter estimation; System identification; Flight test; Aerodynamic modelling; Aerodynamic
Subject (DDC) : 620: Engineering
Abstract: The determination of an appropriate structure for an aerodynamic model developed from flight-test data can be challenging, particularly if a physical interpretation of the model is required. This paper introduces generalized additive models (GAMs) as an efficient and effective means to this end. GAMs provide an intuitive method to determine the structure by allowing the various aerodynamic effects to be separated into an additive model. Individual effects can be modeled by a number of nonlinear smooth functions. The suitability of this method is demonstrated on the example of a simple pitching moment coefficient model that is developed using flight-test data. The ability to separate and visualize effects together with a number of statistical indicators, the relatively low computational costs, and the availability of efficient software packages make GAMs attractive for practical applications. For the work presented in this paper, the “mgcv” package of the open-source statistical software R is used.
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Centre for Aviation (ZAV)
Publication type: Article in scientific Journal
DOI : 10.2514/1.C035171
ISSN: 0021-8669
URI: https://digitalcollection.zhaw.ch/handle/11475/14691
Appears in Collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.