Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

C.C. de Visser; D.M. Pool

doi:10.2514/1.C037283

Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

C.C. de Visser, D.M. Pool

Control & Simulation

Research output: Contribution to journal › Article › Scientific › peer-review

5 Downloads (Pure)

Abstract

Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed at the Faculty of Aerospace Engineering of Delft University of Technology. In particular, this paper focuses on methodologies for identifying models of aerodynamic stall from flight data, as well as multivariate spline-based aerodynamic model identification methods, together with their applications in flight simulation and advanced flight control.

Original language	English
Number of pages	23
Journal	Journal of Aircraft: devoted to aeronautical science and technology
Volume	60
Issue number	5
DOIs	https://doi.org/10.2514/1.C037283
Publication status	Published - 2023

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Access to Document

10.2514/1.C037283

de-visser-pool-2023-stalls-and-splines-current-trends-in-flight-testing-and-aerodynamic-model-identificationFinal published version, 5.38 MB

Cite this

@article{30d2348fab43428a9ba93bcee5307fb4,

title = "Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification",

abstract = "Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed at the Faculty of Aerospace Engineering of Delft University of Technology. In particular, this paper focuses on methodologies for identifying models of aerodynamic stall from flight data, as well as multivariate spline-based aerodynamic model identification methods, together with their applications in flight simulation and advanced flight control.",

author = "{de Visser}, C.C. and D.M. Pool",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ",

year = "2023",

doi = "10.2514/1.C037283",

language = "English",

volume = "60",

journal = "Journal of Aircraft: devoted to aeronautical science and technology",

issn = "0021-8669",

publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",

number = "5",

}

TY - JOUR

T1 - Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

AU - de Visser, C.C.

AU - Pool, D.M.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed at the Faculty of Aerospace Engineering of Delft University of Technology. In particular, this paper focuses on methodologies for identifying models of aerodynamic stall from flight data, as well as multivariate spline-based aerodynamic model identification methods, together with their applications in flight simulation and advanced flight control.

AB - Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed at the Faculty of Aerospace Engineering of Delft University of Technology. In particular, this paper focuses on methodologies for identifying models of aerodynamic stall from flight data, as well as multivariate spline-based aerodynamic model identification methods, together with their applications in flight simulation and advanced flight control.

U2 - 10.2514/1.C037283

DO - 10.2514/1.C037283

M3 - Article

SN - 0021-8669

VL - 60

JO - Journal of Aircraft: devoted to aeronautical science and technology

JF - Journal of Aircraft: devoted to aeronautical science and technology

IS - 5

ER -

Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this