de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Multi-loop Pilot Behaviour Identication in Response to Simultaneous Visual and Haptic Stimuli

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84111

Nieuwenhuizen,  FM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Olivari, M., Nieuwenhuizen, F., Venrooij, J., Bülthoff, H., & Pollini, L. (2012). Multi-loop Pilot Behaviour Identication in Response to Simultaneous Visual and Haptic Stimuli. In AIAA Modeling and Simulation Technologies Conference 2012 (pp. 892-914).


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-B68A-2
Zusammenfassung
The goal of this paper is to better understand how the neuromuscular system of a pilot, or more generally an operator, adapts itself to dierent types of haptic aids during a pitch control task. A multi-loop pilot model, capable of describing the human behaviour during a tracking task, is presented. Three dierent identication techniques were investigated in order to simultaneously identify neuromuscular admittance and the visual response of a human pilot. In one of them, the various frequency response functions that build up the pilot model are identied using multi-inputs linear time-invariant models in ARX form. A second method makes use of cross-spectral densities and diagram block algebra to obtain the desired frequency response estimates. The identication techniques were validated using Monte Carlo simulations of a closed-loop control task. Both techniques were compared with the results of another identication method well known in literature and based on cross-spectral density estimates. All those methods were applied in an experimental setup in which pilots performed a pitch control task with dierent haptic aids. Two dierent haptic aids for tracking task are presented, a Direct Haptic Aid and an Indirect Haptic Aid. The two haptic aids were compared with a baseline condition in which no haptic force was used. The data obtained with the proposed method provide insight in how the pilot adapts his control behavior in relation to dierent haptic feedback schemes. From the experimental results it can be concluded that humans adapt their neuromuscular admittance in relation with dierent haptic aids. Furthermore, the two new identication techniques seemed to give more reliable admittance estimates.