Helicopter parameter estimation based on a nonlinear physics-based model

Barzin Hosseini, Aaron Barth, Manfred Hajek, Florian Holzapfel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

In this paper, time domain approaches will be applied to estimate the unknown parameters in a physics-based helicopter model. A nonlinear model structure is developed using the blade element momentum theory. We apply the Output Error Method implementation of the Maximum Likelihood estimation theory to estimate the unknown parameters in the model. This nonlinear model is linearized at hover for linear model analysis. The helicopter under investigation in this study is an unmanned helicopter with intermeshing rotors (synchropter). The test data was generated via automatic maneuver injection. We demonstrate that the proposed method provides promising system identification results by combining a physicsbased model and parameter estimation based on flight test data.

OriginalspracheEnglisch
TitelAIAA Scitech 2021 Forum
Herausgeber (Verlag)American Institute of Aeronautics and Astronautics Inc, AIAA
Seiten1-15
Seitenumfang15
ISBN (Print)9781624106095
DOIs
PublikationsstatusVeröffentlicht - 2021
VeranstaltungAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Dauer: 11 Jan. 202115 Jan. 2021

Publikationsreihe

NameAIAA Scitech 2021 Forum

Konferenz

KonferenzAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
OrtVirtual, Online
Zeitraum11/01/2115/01/21

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