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A Method for Automatic Tuning of Flight Simulator Motion Platforms

Jones, Michael (2017) A Method for Automatic Tuning of Flight Simulator Motion Platforms. International Journal of Modeling, Simulation, and Scientific Computing, 8 (4). Taylor & Francis. doi: 10.1142/S1793962317430048. ISSN 1793-9623.

Full text not available from this repository.

Abstract

When tuning motion platforms, subjective opinion is usually regarded as sufficient for most applications, as it should provide verification that no false cueing occurs. However, often systems are not configured to fully utilize the available motion for the desired purpose. This paper presents a new method to objectively tune simulation motion platforms. Enhanced usage of the available platform motion space is shown through an example of its application to a specific mission task. The difference in motion filter settings for two simulator platform geometries is shown. This displays the suitability of the platforms for completion of the two-axis lateral reposition task.

Item URL in elib:https://elib.dlr.de/118485/
Document Type:Article
Title:A Method for Automatic Tuning of Flight Simulator Motion Platforms
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jones, MichaelUNSPECIFIEDhttps://orcid.org/0000-0003-1782-739XUNSPECIFIED
Date:2017
Journal or Publication Title:International Journal of Modeling, Simulation, and Scientific Computing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI:10.1142/S1793962317430048
Publisher:Taylor & Francis
ISSN:1793-9623
Status:Published
Keywords:Rotorcraft; Motion Cueing; Piloted Simulation; Optimisation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:rotorcraft
DLR - Research area:Aeronautics
DLR - Program:L RR - Rotorcraft Research
DLR - Research theme (Project):L - The Smart Rotorcraft (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Rotorcraft
Deposited By: Jones, Michael
Deposited On:25 Jan 2018 11:05
Last Modified:31 Oct 2023 07:23

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