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  A practical biodynamic feedthrough model for helicopters

Venrooij, J., Pavel, M., Mulder, M., van der Helm, F., & Bülthoff, H. (2013). A practical biodynamic feedthrough model for helicopters. CEAS Aeronautical Journal, 4(4), 421-432. doi:10.1007/s13272-013-0083-y.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-001A-1222-D Version Permalink: http://hdl.handle.net/21.11116/0000-0001-3C1B-F
Genre: Journal Article

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Venrooij, J1, 2, Author              
Pavel, MD, 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, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Biodynamic feedthrough (BDFT) occurs when vehicle accelerations feed through the pilot’s body and cause involuntary motions of limbs, resulting in involuntary control inputs. BDFT can severely reduce ride comfort, control accuracy and, above all, safety during the operation of rotorcraft. Furthermore, BDFT can cause and sustain rotorcraft-pilot couplings. Despite many different studies conducted in past decades—both within and outside of the rotorcraft community—BDFT is still a poorly understood phenomenon. The complexities involved in BDFT have kept researchers and manufacturers in the rotorcraft domain from developing robust ways of dealing with its effects. A practical BDFT pilot model, describing the amount of involuntary control inputs as a function of accelerations, could pave the way to account for adverse BDFT effects. In the current paper, such a model is proposed. Its structure is based on the model proposed by Mayo (15th European Rotorcraft Forum, Amsterdam, pp. 81-001–81-012 1989), and its accuracy and usability are improved by incorporating insights from recently obtained experimental data. An evaluation of the model performance shows that the model describes the measured data well and that it provides a considerable improvement to the original Mayo model. Furthermore, the results indicate that the neuromuscular dynamics have an important influence on the BDFT model parameters.

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 Dates: 2013-12
 Publication Status: Published in print
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 Identifiers: DOI: 10.1007/s13272-013-0083-y
BibTex Citekey: VenrooijPMvB2013
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Title: CEAS Aeronautical Journal
Source Genre: Journal
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Pages: - Volume / Issue: 4 (4) Sequence Number: - Start / End Page: 421 - 432 Identifier: -