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N. Fezans, C. Deiler, M.S. Roeser
VIRTTAC-Castor is the first model of a larger family, VIRTTAC (Virtual Test Aircraft), developed at the DLR Institute of Flight Systems and freely available on GitHub. These models are black boxes in order to put the users in the situation of a flight test engineer who does not have access to the model equations or parameters but can only test the complete aircraft system as a whole. Such models can be used for different purposes and in the GitHub repository the parts that do not depend on the application are separated from the so-called "workbenches", which gather the use-case-specific parts. This paper presents a new workbench for VIRTTAC-Castor, called "GenerateDatasetForSysID", which enables users to generate a dataset that is suited for aircraft system identification purposes. This paper describes the motivations for this workbench and the main capabilities provided. The dataset provided by simply running this workbench with no modification is already well suited for identifying a flight dynamics model of VIRTTAC-Castor. However, the authors consider that system identification is not reduced to the application of parameter estimation algorithms to an exisiting set of experimental data. System identification specialists should be able to define the test points needed to model their system (which in the case of aircraft usually consist of maneuvers, flight points, flight conditions) and therefore the authors encourage the users of this workbench to customize the pre-defined test points or at least to question whether the pre-defined ones are suited for their needs. The aim of this paper is to inform the community of the release of this new workbench and presents its capabilities and foreseen uses.
Deutscher Luft- und Raumfahrtkongress 2019, Darmstadt
Verlag, Ort:
Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2022
Conference Paper
21,0 x 29,7 cm, 12 Seiten
Stichworte zum Inhalt:
System identification, VIRTTAC
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Fezans, N.; Deiler, C.; Roeser, M.S. (2022): Generation of a Dataset for System Identification with VIRTTAC-Castor. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/490132. urn:nbn:de:101:1-2022100715051999905141.
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