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A practical biodynamic feedthrough model for helicopters

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84279

Venrooij,  J
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Venrooij, J., Pavel MD, Mulder M, van der Helm, F., & Bülthoff, H. (2012). A practical biodynamic feedthrough model for helicopters. In 38th European Rotorcraft Forum (ERF 2012) (pp. 1-13).


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-B630-C
Zusammenfassung
Biodynamic feedthrough (BDFT) occurs when vehicle vibrations and accelerations feed through the pilot’s body and cause involuntary motion 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 (RPCs). Despite many 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 adversive BDFT effects. In the current paper, such a model is proposed. Its structure is based on the model proposed by Mayo [1], 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.