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  Mathematical Biodynamic Feedthrough Model Applied to Rotorcraft

Venrooij, J., Mulder, M., Abbink, D., van Paassen, M., Mulder, M., van der Helm, F., et al. (2014). Mathematical Biodynamic Feedthrough Model Applied to Rotorcraft. IEEE Transactions on Cybernetics, 44(7), 1025-1038. doi:10.1109/TCYB.2013.2279018.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-8005-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-29C9-F
Genre: Journal Article

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 Creators:
Venrooij, J1, 2, Author              
Mulder, M, Author
Abbink, DA, Author
van Paassen, MM, Author
Mulder, M, Author
van der Helm, FCT, Author
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the human body and cause involuntary control inputs. This paper proposes a model to quantitatively predict this effect in rotorcraft. This mathematical BDFT model aims to fill the gap between the currently existing black box BDFT models and physical BDFT models. The model structure was systematically constructed using asymptote modeling, a procedure described in detail in this paper. The resulting model can easily be implemented in many typical rotorcraft BDFT studies, using the provided model parameters. The model's performance was validated in both the frequency and time domain. Furthermore, it was compared with several recent BDFT models. The results show that the proposed mathematical model performs better than typical black box models and is easier to parameterize and implement than a recent physical model.

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 Dates: 2014-07
 Publication Status: Published in print
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 Rev. Method: -
 Identifiers: DOI: 10.1109/TCYB.2013.2279018
BibTex Citekey: VenrooijMAvMvB2013
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Title: IEEE Transactions on Cybernetics
Source Genre: Journal
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Pages: - Volume / Issue: 44 (7) Sequence Number: - Start / End Page: 1025 - 1038 Identifier: -