Neural network algorithm for workspace analysis of a parallel mechanism

Purpose - This paper aims to combine and further develop different mathematical models of the workspace representation of 6 degrees of freedom parallel mechanisms and to bring a new point of view to existing workspace analysis methods through using neural networks (NN).Design methodology approach -...

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Bibliographic Details
Published in:Aircraft Engineering and Aerospace Technology 2007-01, Vol.79 (1), p.35-44
Main Authors: Alp, Hüseyin, Anli, Elmas, Özkol, brahim
Format: Article
Language:English
Subjects:
Aerospace industry
Algorithms
Euler angles
Kinematics
Mechanics
Neural nets
Neural networks
Parallel degrees of freedom
Parallel programming
Researchers
Studies
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Summary:Purpose - This paper aims to combine and further develop different mathematical models of the workspace representation of 6 degrees of freedom parallel mechanisms and to bring a new point of view to existing workspace analysis methods through using neural networks (NN).Design methodology approach - For the orientation workspace of the 6-3 SPM, discretization method is used which is based on Euler angles and the NN algorithm is applied.Findings - The workspace analysis is carried out in the direction perpendicular to the moving platform which is the most workable direction of 6-3 Stewart platform mechanisms and NN algorithm has decreased processing time.Originality value - The determination of the point, on that direction, at which the workspace is maximum, is outlined. It is the first time that the NN is used for classification of workspace of a parallel manipulator.
ISSN:1748-8842
0002-2667
1758-4213
DOI:10.1108/00022660710720476