Neural network algorithm for workspace analysis of a parallel mechanism
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 30 January 2007
Abstract
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.
Keywords
Citation
Alp, H., Anli, E. and Özkol, İ. (2007), "Neural network algorithm for workspace analysis of a parallel mechanism", Aircraft Engineering and Aerospace Technology, Vol. 79 No. 1, pp. 35-44. https://doi.org/10.1108/00022660710720476
Publisher
:Emerald Group Publishing Limited
Copyright © 2007, Emerald Group Publishing Limited