de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Multimodal Pilot Model Identification in Real Flight

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84644

Pool,  DM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Zaal, P., Pool, D., Mulder M, van Paassen, M., & Mulder, J. (2009). Multimodal Pilot Model Identification in Real Flight. In AIAA Modeling and Simulation Technologies Conference 2009 (pp. 802-821). Red Hook, NY, USA: Curran.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C38B-8
Abstract
Flight simulators are widely used for research and training of pilots. However, in skill-based control tasks, pilots behave differently in the simulator compared to real flight due to limited visual and physical motion cues. This warrants a method which quantifies simulator fidelity by the differences between pilot control behavior in real flight and in the simulator. This paper presents the results of in-flight experiments to determine multimodal pilot control behavior in real flight, the baseline in determining simulator fidelity. The experiment is performed in a Cessna Citation II laboratory aircraft with a custom-built fly-by-wire system. To estimate pilots visual and vestibular responses, two forcing functions need to be inserted into the control loop at different locations. The fly-by-wire system was used to physically disturb the aircraft with a disturbance forcing function, while pilots had to track a target forcing function on a display in the cockpit. Both a multi-sine and a ramp target signal were tested in a roll and pitch control task, resulting in four experimental conditions. The results show that multimodal pilot control behavior can indeed be identified in real flight using the current fly-by-wire system setup. For two pilots, pilot model parameters could be estimated with high accuracy for all conditions. However, for the two remaining pilots, identification of multimodal pilot control behavior proved to be less straightforward.