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Conference Paper

Identification of Pilot Control Behavior in a Roll-Lateral Helicopter Hover Task

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

/persons/resource/persons83808

Beykirch,  K
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

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

External Resource

https://arc.aiaa.org/doi/10.2514/6.2007-6799
(Publisher version)

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Citation

Nieuwenhuizen, F., Beykirch, K., Mulder, M., & Bülthoff, H. (2007). Identification of Pilot Control Behavior in a Roll-Lateral Helicopter Hover Task. In AIAA Modeling and Simulation Technologies Conference and Exhibit 2007 (pp. 975-985). Reston, VA, USA: American Institute of Aeronautics and Astronautics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CC41-2
Abstract
This paper focuses on the influence of different forms of motion feedback on the per-
ception and control behavior of pilots in a roll-lateral helicopter hover task. To identify
this influence, a combined target-following and disturbance-rejection task is carried out
where the motion feedback is varied. The participants perform the control task with roll
motion only, lateral motion only, combined roll-lateral motion, or with no motion. A cy-
bernetic approach is taken to identify multi-loop pilot describing functions and estimate
the parameters of a pilot model. Results show that participants perform significantly bet-
ter at the control task with feedback of combined roll-lateral motion, and decrease their
control activity. For the condition with feedback of roll motion a similar trend is observed.
This is explained through the increased amount of information present in the inner roll
stabilization loop.