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A Filter‐Based Motion Cueing Algorithm for a Redundant Driving Simulator
Author(s) -
Ellensohn Felix,
Breyer Manuel,
Schwienbacher Markus,
Venrooij Joost,
Rixen Daniel
Publication year - 2018
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201800445
Subject(s) - motion simulator , acceleration , simulation , actuator , computer science , position (finance) , control theory (sociology) , driving simulator , filter (signal processing) , motion (physics) , algorithm , artificial intelligence , computer vision , control (management) , physics , finance , classical mechanics , economics
A Motion Cueing Algorithm (MCA) determines the simulator's input subject to the driving dynamics demands. Main limitations form the technical restrictions of the simulator's actuators on position, velocity and acceleration level. This paper shows a filter‐based MCA for a redundant motion system exhibiting nine degrees of freedom (DoF). The redundant DoF are distributed by a frequency divider. A parameter optimization scheme is shown to estimate the unknown parameters of the MCA subject to the tilt restrictions and the exploitation of the actuators.