z-logo
open-access-imgOpen Access
The Results of a Simulator Study to Determine the Effects on Pilot Performance of Two Different Motion Cueing Algorithms and Various Delays, Compensated and Uncompensated
Author(s) -
Frank Cardullo,
Liwen Guo,
Robert J. Telban,
Jacob A. Houck,
Lon C. Kelly
Publication year - 2003
Publication title -
aiaa modeling and simulation technologies conference and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2003-5676
Subject(s) - computer science , motion (physics) , simulation , motion simulator , algorithm , artificial intelligence
A s tudy was conducted employing the Visual Motion Simulator (VMS) at the NASA Langley Research Center, Hampton, Virginia. This study compared two motion cueing algorithms, the NASA adaptive algorithm and a new optimal control based algorithm. Also, the study included the effects of transport delays and the compensation thereof. The delay compensation algorithm employed is one developed by Richard McFarland at NASA Ames Research Center. This paper reports on the analyses of the results of analyzing the experime ntal data collected from preliminary simulation tests. This series of tests was conducted to evaluate the protocols and the methodology of data analysis in preparation for more comprehensive tests which will be conducted during the spring of 2003. Therefor e only three pilots were used. Nevertheless some useful results were obtained. The experimental conditions involved three maneuvers; a straight -in approach with a rotating wind vector, an offset approach with turbulence and gust, and a takeoff with and wi thout an engine failure shortly after liftoff. For each of the maneuvers the two motion conditions were combined with four delay conditions (0, 50, 100 & 200ms), with and without compensation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom